MATLAB Program for Image Region Non-Uniform Sampling

The MATLAB program for image region non-uniform sampling enables demonstration of varying sampling rates across image areas, mimicking human visual perception. Developed using MATLAB programming language, this implementation utilizes non-uniform sampling techniques to simulate how the human eye observes images with different resolution requirements across the visual field. The program employs adaptive sampling algorithms that analyze image content characteristics to apply varying sampling densities - higher sampling rates for detailed regions and lower rates for uniform areas. Key functions include region segmentation using edge detection or texture analysis, followed by sampling rate allocation based on regional complexity metrics. Researchers can visualize and compare image effects under different sampling configurations through MATLAB's imaging toolbox functions like imshow() and imresize(). The implementation allows parameter customization for sampling thresholds, region size parameters, and interpolation methods (e.g., bilinear or bicubic interpolation). This flexibility supports optimization studies for balancing compression efficiency and visual quality. Non-uniform sampling represents a significant image processing technique that enhances compression performance while maintaining perceptual quality by allocating sampling resources according to content importance. The MATLAB-based implementation provides an accessible platform for demonstrating sampling effects, validating algorithms, and conducting performance analysis through quantitative metrics like PSNR and SSIM calculations. Customizable code structure facilitates modifications for specific research requirements, making it suitable for educational demonstrations and advanced image processing research.