Image Enhancement Techniques by Texture Synthesis

It has been observed that stretching of the Image may damage the clarity in many Image Processing applications. Edge and Textures are among the most important features of an image. They have however very different characteristics, suggestions that they should be enhanced using different techniques. For edges, we propose a sobel techniques and finding the edge of all objects .For textures we have used Pixel base Texture Synthesis and Patch based texture Synthesis approach. Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image. Texture synthesis can be used to fill in holes in images, create large non-repetitive background images and expand small pictures and also removing noise. For cleaning gray scale image two methods Pixel Based Texture Synthesis and Patch Based Texture Synthesis are implemented and their results have been compared. Also taking different size and shapes of patch and then using both methods noise is removed. PSNR is used as measure of quality. For Color image (RGB image) cleaning the image by selecting area (select image area) and segmentation (object select by boundary). This dissertation addresses two parts. The first part of this dissertation considers Texture Synthesis for Gray scale images by Pixel based and Patch based Texture Synthesis. The second part deals with cleaning the color images by Texture Synthesis. Keywords— Edge Detection, Image enhancement techniques, Patch Based Texture Synthesis, Pixel Based Texture Synthesis, Texture Synthesis