Free noise ninja software for windows

Electronic noise is a fact of life in digital imaging. Usually, this noise is not very significant, but on various occasions it can end up ruining a fine image. softwhiles DeNoise plug-in provides additional noise reduction algorithms for Adobes Photoshop, the standard in digital imaging.
This plug-in provides 4 noise reduction algorithms, including low-pass, bilateral, adaptive bilateral and low frequency. These methods, used separately or in combination, provide an excellent tool for the serious photographer who runs up against electronic noise.
System requirements:
- Photoshop

The NTI Ninja application was designed to maximize data protection by using a driver level encryption technology to create private and public partitions on USB storage devices. Ninja allows you to easily access and share commonly used data on the public partition, while simultaneously restrict and hide access to confidential data on the private partition of your drive.
Key Benefits
- Safeguards your data from theft and unwanted access
- Keeps common data fully sharable & portable while hiding your private data
- Great
for students, business road warriors, and all users of USB drives
- Works with USB flash drives, micro drives, external hard disk drives & more!
- Great for protecting homework, confidential reports, journals, financial
- Information - even those treasured photos from Vegas!
- Installs fast - Intuitive interface makes Ninja easy to use
Main features:
- Creates a public partition & a private hidden partition on any USB storage device
- Encrypts and password-protects your private partition
- User selects the amount of workspace for each partition
- Supports FAT, FAT32, NTFS, and includes a Quick Format option
- Automatically detects & prompts you for your password when you plug in your USB device
- Includes a password Hint when you need it

MSU Noise Estimator 0.1 is an ideal tool for anyone who has to work with audio a great deal. It is actually a free MSU VQM plugin for noise level estimation. It includes implementation of three most popular algorithms for measurement of noise level. By results of job of the metrics the plot of frame-accurate value of noise level is constructed. Final value of the metrics is average arithmetic of all frame-accurate values.

Algorithms:

• MAD - For each frame do HAAR wavelet decomposition. Than evaluate median of HH-component's absolute values. Final value of the metrics is the normalized median.
• Block-Based - Frames are tessellated into a number of 8x8 blocks. Standard deviations of intensity (measures of intensity variation) are computed for all the blocks and sorted. The block with the smallest standard deviation has the least change of intensity. The smaller the standard deviation, the smother the block. The intensity variation of a smooth block may be due to noise, in which the standard deviation of the block is close to that of the Gaussian noise added. Normalized average arithmetic values of 30 % of all blocks with the least values grows is the final value of the metric.
• Spatio-Temporal Gradients - For each frame is doing wavelet decomposition. computing temporal and spatial histograms. The initial estimation of noise level is defined by value at which temporal or spatial histogram achieves the maximal value. The decision of whether to use the spatial or temporal histogram is based on the deviation of the histogram from the Rayleigh distribution. Then this estimation is corrected, using Kolmogorov-Smirnoff test. The normalized corrected estimation is the final value of the metric.

Major Features:

1. Completely free!
2. Offers three most popular algorithms for measurement of noise level
   • MAD
   • Block-Based
   • Spatio-Temporal Gradients
     
3. Very easy to use
   

Requirements: Pentium 700 Mhz