MATLAB Image Processing Source Code Implementation

This image processing source code provides comprehensive solutions for various digital image manipulation tasks, including but not limited to image interpolation, image restoration, and image enhancement. Image processing technology involves performing diverse operations and modifications on digital images. Through this source code implementation, users can perform multiple processing techniques to improve and optimize image quality. The codebase incorporates key MATLAB functions such as imresize() for image interpolation, deconvwnr() for Wiener filter-based restoration, and histeq() for histogram equalization-based enhancement. These algorithms work by manipulating pixel values through mathematical transformations and convolutional operations. In fields ranging from scientific research and medical imaging to engineering design and artistic creation, image processing plays a vital role. Therefore, understanding and mastering this image processing source code is crucial for developing advanced image manipulation skills. The implementation includes proper handling of different image formats and color spaces, ensuring robustness across various applications.