Implementation of Criminisi Algorithm for Image Inpainting in MATLAB

The Criminisi algorithm is a widely-used approach for image inpainting that can be effectively implemented in MATLAB. This implementation includes both sample images and complete source code, providing a comprehensive solution for image restoration tasks. The algorithm operates by analyzing local contextual information within the image to predict and fill missing pixels, thereby achieving high-quality image repair and restoration. The MATLAB implementation typically involves several key functions: patch selection based on priority computation using gradient and confidence terms, source patch matching through similarity measures, and targeted pixel filling operations. The code structure generally includes modules for handling image input/output, calculating priority maps, performing patch-based texture synthesis, and updating confidence values iteratively. By utilizing the Criminisi algorithm implementation in MATLAB, users can effectively address various image imperfections including scratches, stains, and missing regions, significantly enhancing image quality and completeness through sophisticated patch-based texture synthesis and structure propagation techniques.