denoising
MSU Denoising VirtualDub Plugin 2.5
High-quality video denoiser plugin. Allows flexible denoising level setup. more>> High-quality video denoiser plugin. Allows flexible denoising level setup.
MSU Denoising VirtualDub Plugin was designed to be a high-quality video denoiser plugin for VirtualDub. Easy to use. The filter is designed for noisy video stream processing, video quality improvement, or video preprocessing, e.g. for preprocessing before compression or interlacing.
Allows flexible denoising level setup in temporal and spatial dimensions.
The filter suppresses noise in both spatial and temporal domains. For each type of denoising different properties could be set in the propery box. With specific combinations, spatial-only or temporal-only denoising could be enabled.
System requirements:
- VirtualDub 1.4.x or AviSynth 2.x
Enhancements:
- New algorithm and fully automatic mode added, improved performance when using GPU, shot detection added to reduce artifacts
MSU Denoising VirtualDub Video plugin 2.5
Free high-quality video denoising plugin. Uses GPU for ultimate performance. more>> Free high-quality video denoising plugin for VirtualDub. Uses GPU for ultimate performance. Easy to use: there is fully automatic mode and several presets for different noise levels. Filter is designed for video quality improvement by noise removal, and video preprocessing for better compression. The filter suppresses noise in both spatial and temporal domains. Use of GPU mode allows faster then real time high definition video (HDTV) processing.<<less
Free high-quality video denoiser plugin. MSU Denoising VirtualDub Video plugin 1.6.2 - Graphics&MediaVirtualDub MSU Denoising Filter (Noise Removal) 2.5
A useful filter that was designed for noisy video stream processing more>> A useful filter that was designed for noisy video stream processing
VirtualDub MSU Denoising Filter (Noise Removal) is a free and useful filter that was designed for noisy video stream processing, video quality improvement, or video preprocessing (e.g. for preprocessing before compression or deinterlacing).
The filter suppresses noise in both spatial and temporal domains. Filter effect is specified for each type of denoising in the dialogue box as shown. Checkboxes help to set required combination of domains, thus enabling spatial-only or temporal-only denoising.
Enhancements:
- added "Preview" button and some bug fixes were made
Enhancements:
- The filter is designed for noisy video stream processing, video quality improvement, or video preprocessing (e.g. for preprocessing before compression or deinterlacing).
- The filter implementation is able to use GPU processing power to increase the processing speed.
VirtualDub MSU Denoising Filter (Noise Removal) is a free and useful filter thatD/Noise 1.0d
Audio denoising software that uses new technologies to remove (without filtering) noise out of digital audio recording. Digitized old LPs and other recordings are turned into almost-CD-quality sound f more>>
SmartDeNoiser 1.0
A small tool that detects and removes single, continuous noise tones in WAV audio files. more>>
SmartDeNoiser 1.0 offers you a convenient tool that lets you detect and remove single, continuous noise tones in WAV audio files.
How it works:
- The complete file is (virtually) divided in chunks with 250 ms playing time each. These chunks are analyzed for noise.
- Only noisy chunks (the chunks where noise was detected) are processed for removing the noise.
- Single noise chunks and single non-noise chunks are ignored.
- At the beginning and at the end of each group of noisy chunks, one additional chunk is used to fade in/out the cleaned audio stream.
Major Features:
- Detect and remove single, continuous noise tones in WAV audio files. It was built for removing the ~16 kHz noise tone that some TV and DVD productions contain.
- Remove this noise before you create a DivX or MPEG/(S)VCD version of the movie. The audio editors at TV stations doesnt seem to notice that these noises even exist - probably because many people arent able to hear these high frequencies (do you hear this noise?) or have poor audio equipment. Example of noise in a TV show.
- Detects the noise and removes it. Analysis and a smart denoising of the parts of your audio file that contain noise are done by SmartDeNoiser. SOX (SOund Exchange), a GPLed open source program, is used for equalizing (temp) files.
Limitations:
- You can use SmartDeNoiser without paying a license fee, use it on as many computers as you want. However, SmartDeNoiser contains a nag screen which appears after you used it.
- SmartDeNoiser is limited for processing WAV files with 48 kHz, 16 Bit (stereo or mono) by now, because its the usual format one has to cope with when processing MPEG2 videos.
MSU Denoiser VirtualDub plugin 2.5.1
Free high-quality video denoising plugin for VirtualDub. Uses GPU for ultimate performance. Easy to use: there is fully automatic mode and several presets for different noise levels. Filter is designed for video quality improvement by noise removal, and video preprocessing for better compression. The filter suppresses noise in both spatial and temporal domains. Use of GPU mode allows faster then real time high definition video (HDTV) processing. more>>
MSU Denoiser VirtualDub plugin - Free high-quality video denoising plugin for VirtualDub. Uses GPU for ultimate performance. Easy to use: there is fully automatic mode and several presets for different noise levels. Filter is designed for video quality improvement by noise removal, and video preprocessing for better compression or deinterlacing. Use of GPU mode allows faster then real time high definition video (HDTV) processing. The filter suppresses noise in both spatial and temporal domains.For each type of denoising different properties could be set in the propery box. With specific combinations, spatial-only or temporal-only denoising could be enabled.
Enhancements:
Version 2.5.1
Possible GPU problems detection added, bugs fixed
System Requirements:<<less
BMP Deinterlacer 1.3
This is a command-line program that operates on 24-bit BMP files, and supports batch mode. more>>
This has been provided in response to several requests for deinterlacing of a non-lossy format. Source code is included in the zip file.
Usage 1: bmpdeint [options] infile [outfile]
If outfile is omitted, the output will be placed in a directory called deint (created if necessary) under the current directory. The output file will have the same name as the input file.
Usage 2: bmpdeint [options] -b dir
All BMP files in the specified directory will be processed and the resulting processed BMP files will be placed in a directory called deint (created if necessary) under the current directory. The output files will have the same
names as the corresponding input files.
Note that you should never specify "*.bmp" or any other file(s) in batch mode. Specify only the source directory. To denote the current directory, use ".".
The default threshold and denoising are fine for most applications. Use the -c option to see the effects of tweaking the threshold. Areas shown in red under the -c option will be deinterlaced by interpolation; all other
areas are passed through as is.
Contenta Converter BASIC 4.7.2
Batch convert your photos. Optimize photos for internet, batch rename and organize in subfolders. Practical tool to prepare email attachments. Optimized for multi-core processors. Speed up your conversions by using 100% of your CPU. more>>
Batch convert your photos. Optimize photos for internet, batch rename and organize in subfolders. Practical tool to prepare email attachments.Handles 50+ image formats (JPG, JPEG2000, GIF, PNG, TIFF, BMP, WBMP, TARGA, PPM, PGM, PBM, XPM, ICO, CUT, G3, DDS, IFF, JNG, KOA, MNG, PCD, PCX, RAS, SGI, SVG, PS, EPS, PDF, PSD, RAW, DNG, CRW, CR2, ORF, MRW, THM, NEF, PEF, SRF, ARW, 3FR, ERF, KDC, SR2, RAF, X3F, DCR, DRF, MEF, MOS, PTX). Select your images, setup your conversion parameters, preview quality and file sizes and press Start! It does batch file renaming (Ex: CameraModel_Date_Filename.Extension),organize into sub-folders automatically (Ex: CameraModelCreationYearYearmonthday). It also has the capability to transform your images into a nice PDF album, share your photos online and order prints all in one click. Configure the layout, how many images per page and you get an e-book with your photos ready for sharing or publishing. For power users, there is batch RAW processing so that you can set the parameters to develop your RAW images: brightness, white balance, denoising. Optimized for multi-core processors. Speed up your conversions by using 100% of your CPU.Get one year of update protection and technical support with the purchase of a license.
System Requirements: Java 5 or later
<<less
you can set the parameters to develop your RAW images: brightness, white balance, denoising. Optimized for multi-core processors. Speed up your conversions by using 100% of your CPU.Get oneLicense:Freeware
License:Freeware
License:Freeware
License:Freeware
MSU NoiseGenerator VirtualDub plugin 2.1
Freeware video filter, which allowes to emulate different noise more>> The filter adds artificial noise of one common types (equidistributed, normaldistributed, colour stains, echo signal) to video stream. It can be used for testing, debuging and comparison of various denoising filters.<<less
It can be used for testing, debuging and comparison of various denoising filters. Settings dialogue box allows to select type of noise to generation. Noise intensity can be specified for each
Contenta Converter BASIC for Mac 4.7.2
Batch convert your photos. Optimize photos for internet, batch rename and organize in subfolders. Practical tool to prepare email attachments. Optimized for multi-core processors. Speed up your conversions by using 100% of your CPU. more>>
Batch convert your photos. Optimize photos for internet, batch rename and organize in subfolders. Practical tool to prepare email attachments.Handles 50+ image formats (JPG, JPEG2000, GIF, PNG, TIFF, BMP, WBMP, TARGA, PPM, PGM, PBM, XPM, ICO, CUT, G3, DDS, IFF, JNG, KOA, MNG, PCD, PCX, RAS, SGI, SVG, PS, EPS, PDF, PSD, RAW, DNG, CRW, CR2, ORF, MRW, THM, NEF, PEF, SRF, ARW, 3FR, ERF, KDC, SR2, RAF, X3F, DCR, DRF, MEF, MOS, PTX). Select your images, setup your conversion parameters, preview quality and file sizes and press Start! It does batch file renaming (Ex: CameraModel_Date_Filename.Extension),organize into sub-folders automatically (Ex: CameraModelCreationYearYearmonthday). It also has the capability to transform your images into a nice PDF album, share your photos online and order prints all in one click. Configure the layout, how many images per page and you get an e-book with your photos ready for sharing or publishing. For power users, there is batch RAW processing so that you can set the parameters to develop your RAW images: brightness, white balance, denoising. Optimized for multi-core processors. Speed up your conversions by using 100% of your CPU.Get one year of update protection and technical support with the purchase of a license.
System Requirements: Java 5 or later
<<lessLicense:Freeware
License:Freeware
fft3dGPU 0.7
FFT3dGPU is a GPU version of Fizicks FFT3DFilter more>>
In this version the next frame is processed while waiting for the GPU to end its work. Meaning the filters before fft3dGPU are working concurrently with it.
Installation
To use this filter you need directx 9.0c or better and a graphics card supporting directx 9 in hardware. That is at least an ATI Radeon 95xx or Nvidia Geforce fx 5xxx. Geforce 6xxx or better is recommended. If you have downloaded the installer just run it at youre done, else copy fft3dgpu.hlsl and copy FFT3dGPU.dll into the same directory, also copy d3dx9_30.dll to the c:\windows\system32 directory.
Older versions also had fft3dgpu9b.dll (not available at the moment) for Directx 9.0b support (DONT copy both dll into the autoload directory.) Directx 9.0c might be faster for people using Nvidia Geforce 6xxx because it adds support for pixelshader 3.0. If you dont have the latest version of directx installed (april 2006 or later) you can get it here or extract the file d3dx9_30.dll to the c:\windows\system32 directory. The installer will copy d3dx9_30.dll to the right location meaning that it shouldnt be neccesary to run the directx installer if you have Directx 9c installed.
Syntax
FFT3DGPU(clip, float "sigma", float "beta", int "bw", int "bh", int "bt", float "sharpen", int "plane", int "mode", int "bordersize", int "precision", bool "NVPerf", float "degrid", float "scutoff", float "svr", float "smin", float "smax", float "kratio", int "ow", int "oh", int "wintype" , int "interlaced", float "sigma2", float "sigma3", float "sigma4", bool "oldfft" )
Function parameters:
clip: the clip to filter. The clip must be YV12.
sigma and beta has the same meaning as in fft3dfilter. Default=2.
sigma2, sigma3, sigma4 If specified controls the sigma value for highest(sigma) to lowest frequency(sigma4). Default=sigma
bw,bh: blockwide and block height. It should be a power of 2 ie valid values is 4,8,16,32,64,128,256,512 (note that bw should be greater than 4 for best result). Default=32
bt: mode. bt=-1 sharpen only, bt=0 kalman filtering, bt=1 is 2d filtering, bt=2 uses the current and previous frame, bt=3 uses the previous current and next frame, bt=4 uses the two previous frames, the current and next frame. default 1
sharpen: positive values sharpens the image, negative values blurs the image. 0 disables sharpening. Default 0.
plane: 0 filters luma, 1,2 and 3 filters Chroma (both U and V). 4 filters both luma and chroma. Default 0.
mode: 0 only overlaps 1:1. This is faster but produces artifacts with high sigma values.
mode=1 block overlaps 2:1. This is slower but produces fewer artifacts.
mode=2 again 1:1 overlap but with a additional border. This reduces border artifacts seen with mode=0. The speed is between mode 0 and 1.
Kalman(bt=0) works well with mode=0. Default 1
bordersize: only used with mode 2. Defines the size of the border. Default is 1.
precision: 0: to use 16 bit floats(half precision),
1: to use 32 bit float(single precision) for the fft and 16 bit float for the wienner/kalman and sharpening.
2: allways use 32 bit floats.
Using 16 bit float increases the performance but reduces precision. With a Geforce 7800GT precision=0 is ~1.5 times faster than than mode 2. Default=0.
NVPerf: Enables support for NVPerfHUD (http://developer.nvidia.com/object/nvperfhud_home.html). Default false.
degrid: Enables degriding. Only works well with mode=1. Doesnt degrid the Kalman filter (but it does degrid the sharpening (if enabled) after kalman filter). default 1.0 for mode=1, 0.0 for mode=0 or 2
scutoff, svr, smin, smax:Same meaning as fft3dfilter. Controls the sharpening. default scutoff=0.3, svr=1.0, smin=4.0, smax=20.0
kratio: same as fft3dfilter. Control the threshold for reseting the Kalman filter. Default 2.0
ow,oh: this only works with mode=1. This specifies how big the overlap between the blocks are. Overlap size must be less than or equal to half the blocksize. Ow must be even. Default: ow=bw/2 ,oh=bh/2
wintype: Change the analysis and syntesis window function. Same as fft3dfilter
interlaced: Set to true for separate filtering for each field. Default=false.
oldfft: Set to true to use the old fftcode (used in version 0.6.2 and lower) false to use new fft code. If not defined fft3dgpu will use the fastest code.
FAQ:
Q: What does it mean when I get a popup box Unexpected error encountered with Error Code: D3DERR_OUTOFVIDEOMEMORY.
A: It means that fft3dgpu needs more memory than there are availebol on the graphics card. So either you will have to upgrade or try lowering the resolution,bt,bh,bw,ow,oh or use usefloat16=true or mode 0 or 2
Q: What setting gives the same result as fft3dfilter?
A:fft3dGPU(mode=1,precision=2) is similair to fft3dfilter() but please note the different default values for bw,ow,bh,ow
Q: Is there any differences between fft3dfilter and fft3dgpu?
A: Some of the features from fft3dfilter is still missing.
Q: Why is fft3dGPU so slow compaired to fft3dfilter?
A: either you have a slow graphics card like a Geforce FX 5200 or you are not using it while doing cpu heavy encoding (like XviD/DivX)
Q: How do I use NVPerfHUD?
A: set NVperf=true and used this commandline or make a shortcut to run it: "PATH TO NVPerfHUD\NVPerfHUD.exe" "PATH TO VIRTUALDUBMOD\virtualdubmod.exe" "PATH TO AVS\test.avs" and enabled "force NON PURE device"
Q: I get this errormessage: "Only pixelshader 2.0 or greater supported"
A: It is because you need a graphics card that has hardware support for Directx 9.
MSU Lossless Video Codec 0.6.0
Free high quality lossless video codec. It has the best compression ration among free lossless video codecs. Supports RGB, YUY2 and YV12. Allows to set up speed/compression ratio compromise by choosing appropriate motion compensation algorithm. Allows to set up loss/compression ratio compromises. Performs accurate denoisng in temporal and spatial domains during lossy compression. more>>
MSU Lossless Video Codec 0.6.0 is a nice addition to your codec collection. It is actually a free high quality lossless video codec. This codec is intended for lossless video compression (used for saving master copies or intermediate rendering results). It has the best compression ration among free lossless video codecs. This codec supports RGB, YUY2 and YV12. It also allows to set up speed/compression ratio compromise by choosing appropriate motion compensation algorithm. Allows to set up loss/compression ratio compromises. Performs accurate denoising in temporal and spatial domains during lossy compression. Denoising often improves quality of video.
Benefits:
- Variants of video quality:
-
- Absolutely lossless - absolutely lossless mode: the data after decompression is bitwise equal to the source data. This mode has the smallest compression ratio. Input may be in RGB, YUY2 and YV12 formats, output will be in the same format as input.
- Allow colorspace conversion - works in YV12 color space. It means if you had some video in YV12 format (quite often case) then after decompression the data is equal to the source. And if the source data were in 24-bit RGB or 16-bit YUY2, then you lose on RGB to YUV conversion. This mode leads to much better compression ratio.
- Allow denoising - differs from previous one by having a slight denoising. Visually image stays the same but compression improves.
- Allow stronger denoising - differs from the previous one by stronger denoising. Visually image quality doesn't get worse (in most cases it gets better) and the compression ratio grows further.
- Absolutely lossless - absolutely lossless mode: the data after decompression is bitwise equal to the source data. This mode has the smallest compression ratio. Input may be in RGB, YUY2 and YV12 formats, output will be in the same format as input.
- In Denoising area you can set denoising parameters for Custom compression mode.
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- Temporal denoising threshold controls the temporal part of denoising. Must be a positive integer number. The "Good compression" mode has this parameter set to 30, the "High compression" mode - 50.
- Spatial denoising intensity controls the spatial part of denoising. Must be a positive real number. The "Good compression" mode has this parameter set to 4, the High one - 20.
- Temporal denoising threshold controls the temporal part of denoising. Must be a positive integer number. The "Good compression" mode has this parameter set to 30, the "High compression" mode - 50.
- In Delta-Frames area you can set up codec's use of previous frames.
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- Enable Delta-Frames turns on delta-frames use. If you turn it off, all frames will be key-frames. This will cause growth of file size, so don't turn it off unless you're sure you need to.
- Force Key-Frames every N frames tells codec to insert a key-frame at least once an N frames.
- Enable Delta-Frames turns on delta-frames use. If you turn it off, all frames will be key-frames. This will cause growth of file size, so don't turn it off unless you're sure you need to.
- In Motion Estimation you can control compression speed and ratio. You can use one of presets or set the following options manually.
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- FullSearch turns on use of slow but precise algorithm of motion compensation. It makes compression much slower but much better.
- After DVD or DivX: turning this option on allows you to compress better video which passed through a lossy codec.
- PP-frame - search in pre-previous frame. Makes compression a bit slower but better. Recommended to keep it turned on.
- FullSearch turns on use of slow but precise algorithm of motion compensation. It makes compression much slower but much better.
Major Features:
- Completely free!
- Offers lossless video codec
- Offers accurate denoising in temporal and spatial domains during lossy compression
- Powerful compression
- You are able to set up speed/compression ratio
- You are able to set up loss/compression ratio
- Make software presentations, video lessons and tutorials with this tool.
- Supports RGB, YUY2 and YV12
Enhancements:
- New compression algorithm implemented. Compression speed increased 1.5-2 times, decompression speed increased 2-2.5 times!
- New interface: more simple and clear.
- Can decompress files created by 0.5.x version, can compress with the old algorithm also.
Requirements: Pentium 700 Mhz
This is done by denoising, so all you really loose is the noise. In many cases image quality increases. Good compression - differs from the "Medium compression" by having a slight denoising. Visually
Denoising offten improves quality of video
License:Freeware
Photo! Editor 1.1
Get powerful and easy-to-use image editing tools for free with Photo! Editor. The program provides a number of useful image editing options without embarrassing you with a complicated interface. more>>
Image editing has never been so easy and fast! Photo! Editor is powerful multifunctional software offering a complete set of image editing tools. Its user friendly and intuitive interface allows everybody to enhance their photos easily and with fun.
The new 1.1 version of Photo! Editor adds the Deblur tool to sharpen blurry images. The tool uses an advanced method that lets repair even heavily blurred shots. The improved Denoise tool removes digital noise from your images easily and effectively.
The Fix Red Eye tool detects and corrects the notorious ?red eye? with a single click. This tool is principally noteworthy for the fully automatic correction with splendid results, but can be used in manual mode as well.
Want to achieve the best possible colors for your photos? Use the Enhance Color tool to easily correct shots made in places with insufficient or excess lighting, or just improve image contrast and saturation. The tool also lets you adjust color temperature and tint, as well as fix the white balance in a couple of clicks.
Experience the joy of creation with Photo! Editor: create funny caricatures transforming photos with warp effects, or use the Lighting tool to add the 3D relief or apply artistic lighting effects to your photos. The Make Up tool provides a complete set of retouching brushes. It was designed especially for portrait enhancement and lets you make people in your photos look fantastic.
Besides, Photo! Editor lets you straighten titled photos easily, resample and crop images, as well as convert image format. For your convenience, Photo! Editor allows editing multiple photos with minimal effort in the batch mode. Context menu integration lets you access any of Photo! Editor tools instantly from Windows Explorer right-click menu.
With Photo! Editor everything you may need for image enhancement is right there at your fingertips!
System Requirements: - now EXIF information is saved after image processing; - new Deblur tool to sharpen blurry images. The tool uses an advanced method that lets improve even heavily blurred pictures; - improved denoising tool; - bug sender mechanism letting you report bugs quickly and easily.
<<lessAutomatic red eye removal, denoising, lighting effects - that is far from full set of features. With Photo! Editor everything you may need for image enhancement is right there at your fingertipsAviSynth MSU Field Shift Fixer 0.5
fixing situation when different lines of source frame are placed more>> Free AviSynth filter for fixing situation when different lines of source frame are placed in different output frames. This often occures during movie capture, when odd lines are one frame later than even lines. In films after PAL->NTSC conversion there is another problem: in two neighbour frames odd lines are equal and even are different. The main idea of this filter is searching for the optimal lines position for current frame. If this position exists, optimal odd lines are placed into current frame, otherwise (for example when odd lines are in one frame after even lines and we are in the last frame) the odd field is interpolated, or no changes are done (behavior depends on filters settings). After applying MSU FieldShiftFixer to sequence visual video quality is improved, and compression and denoising processes give better results.<<less
GREYCstoration 2.9
Will allow you to process a color image by locally removing small variations of pixel intensities more>> Will allow you to process a color image by locally removing small variations of pixel intensities
GREYCstoration is an image regularization algorithm that will allow you to process a color image by locally removing small variations of pixel intensities while preserving significant global image features, such as edges and corners.
The most direct application of image regularization is image denoising. By extension, it can also be used to inpaint or resize images.
GREYCstoration is based on state-of-the-art image processing methods using nonlinear multi-valued diffusion PDEs (Partial Differential Equations).
This kind of method generally outperforms basic image filtering techniques (such as convolution, median filtering, etc.), classically encountered in image painting programs.
Other comparable image denoising techniques are available (for instance, Noise Ninja, Neat Image ) but are not open-source, and the corresponding algorithms are kept secret.
On the contrary, the source code of GREYCstoration is freely available and distributed under the CeCILL License (compatible with the well-known GPL). It gives similar results (not to say better) to existing closed-source denoising filters, and is absolutely free to use.
Compared to other PDE-based regularization methods, our approach has several advantages : It performs very fast and is able to preserve thin image details since it works at a sub-pixel accuracy.
The most direct application of image regularization is image denoising. By extension, it can also be used to inpaint or resize images. GREYCstoration is based on state-of-the-art image processing- Page: 1 of 1
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