A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram ...

Image processing has emerged to be the only stand-alone non-human technique for image comprehension. The avant-garde image processing techniques finds their vast relevance in feature extraction, face detection, finger-print detection, microscope imaging, medical imaging, computer vision, remote sensing, etc. Image processing constitutes a systematic procedure of signal processing, computer visi...

We propose a unified framework for representing and processing images using a feature space related to local similarity. We choose the multiscale and versatile local jet feature space to represent the visual data. This feature space may be reduced by vector quantisation and/or be represented by data structures enabling efficient nearest neighbours search (e.g. kd-trees). We show the interest of...

Image enhancement is a processing on an image in order to make it more appropriate for certain applications. It is used to improve the visual effects and the clarity of image or to make the original image more conducive for computer to process. In this paper we are going to review the different image contrast enhancement techniques. Image Enhancement techniques increase the contrast of image wh...