STOIK Noise Autofix

STOIK Noise Autofix 1.6

STOIK Noise Autofix v. 1. 6 implements the latest automatic...

STOIK Noise Autofix v. 1. 6 implements the latest automatic noise reduction algorithm developed by STOIK Imaging. The program cleans noise in photos from different sources including digital cameras, cameraphones, and scanners.

The main internal modules of the program are noise detector, noise analyzer and noise suppression filter. Noise detector finds noise and distinguishes it from natural image textures and fine details.

It is based on statistical Bayesian classifier. It was pre-trained on most typical noise types and it can be trained additionally to take into account new specific noise patterns.

Noise analyzer measures noise parameters, builds the noise profiles, and decides what filter parameters are optimal for the particular noise type according to the proprietary image quality criteria.

The noise removal filter processes the image to reduce noise level providing balance between preserving image details and noise suppression. The filtering is performed using a multi resolution image representation.

During filtration the filter makes statistically optimal decision whether image element belongs to noise or not. Once the decision is made it applies different methods to process noise and image elements.

This software also includes automatic Smart Sharpening filter as an optional postprocessing tool. Features-------------Fully automatic functions:- noise detection- noise profiling- noise profile analyzing and correction- filter adaptation to noise pattern based on image quality criteria- sharpeningOptional manual fine tuning:- change noise detection/false alarms levels- adjust image details preservation level- adjust noise reduction amountInput/Output- Import 24- and 48-bit color JPEG, TIFF, PNG, BMP, PSD files - Output JPEG, TIFF, PNG, BMP, - EXIF data preservation- Drag-n-drop files from Explorer of copy-paste images from Clipboards- Assistant window.

STOIK Noise Autofix


STOIK Noise Autofix 1.6

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