System architecture:

• developed in Matlab
• modular system, easy customizable and updatable
• fast and easy integration of user made functions into the system
• open-source software, everyone can use it and contribute to its development
• general purpose image processing functions
• forensic oriented image processing functions

File types supported:

• open images in jpg, tiff, pcx, bmp, gif formats, both true color (24bits) and grayscale (8bits)
• import frames from avi files
• save images only in tiff format
• save log file automatically together with the image
• save MD5 hash code of the image to check unknwown modifications

Basic editing functions:

• undo/redo function
• image duplication
• image cropping
• luminance and contrast regulation
• color to grayscale conversion
• image flipping
• image rotation
• easy image comparison tool

Image management tools:

• operations history visualization
• image information (size, mode...)
• image mean and variance estimation
• SNR and PSNR with reference image calculation

Resizing algorithms:

• classic algorithm like nearest, bilinear and bicubic interpolation
• rational interpolation (only 2x, 4x, 8x and 16x)
• WaDi2 and LoWaDi2 advanced interpolators

Available filters:

• median (x-shaped, +-shaped, alpha-trimmed)
• averaging
• low-pass
• advanced noise smoothing based on rational functions theory
• unsharp masking
• high-pass
• advanced unsharp masking based on rational funtions theory
• jpeg blocking artifacts reduction
• artificial noise generation

Image restoration tools:

• motion blur correction (with parameter estimation tool)
• deblurring (defocus correction)
• correction of geometric distortion (wide angle lens)
• perspective correction
• correction of line shifts introduced by old VCRs

Multiple image operations:

• frame averaging
• simple image registration
• image registration with projective transformations

Video sequence tools:

• frame import
• multiple camera sequence demultiplexing (under test)
• automatic saving of demultiplexed sequence or of all frames

Deinterlacing algorithms:

• classic bilinear and bicubic
• rational functions based algorithm
• advanced deinterlacing

NOTE: some of the functions (manily the ones based on standard algorithms) are developed through Matlab and Image Processing Toolbox functions.