RGB Object Restoration using Morphological and Gabor Wavelet Classifiers

Gabor features, a well-researched topic, widely used in image processing applications such as object and faces recognition, also pattern recognition applications such as fingerprint recognition, character recognition, and texture segmentation etc. Object recognition in the field of computer vision focuses on the task of identifying or locating a set of objects in an image or video sequence. This paper concentrates on various image processing techniques and operators such as image enhancement, image restoration, encoding and decoding techniques. The various applications of image processing techniques have also been studied. When image is transferred from source to the destination, it will take large amount of bandwidth. This bandwidth consumption has to be minimised. Our work proposes the algorithm that are used for better performance of parameters such as Absolute mean brightness error (AMBE), Peak signal to noise ratio (PSNR), Normalized absolute error (NAE), contrast improvement, image sharpening, edge detection, noise removal and data security issues. We also showed that our new approach has considerable advantages and is substantially superior to the existing traditional methods especially in the field of robustness and accuracy.