Image Detail Enhancement Techniques - A Brief Review

  • Prakash R. Gadekar, Shradha B. Hedgire, Rajan S. Jamgekar
  • Published 2016


Image enhancement is required to improve the image quality so that the resultant image is better than the original image for a specific application or set of objectives. Image enhancement is the task of applying certain alterations to an input image like as to obtain a more visually pleasing image. Many images such as medical images, remote sensing images, electron microscopy images and even real life photographic pictures, suffer from poor contrast. Therefore it is necessary to enhance the contrast. The purpose of image enhancement methods is to increase image visibility and details. Two major classifications of image enhancement techniques are spatial domain enhancement and frequency domain enhancement. However, these techniques bring about tonal changes in the images and can also generate unwanted artifacts in many cases, as it is not possible to enhance all parts of the image in balanced manner. I.INTRODUCTION Image Enhancement is one of the most important and difficult techniques in image research. The aim of image enhancement is to improve the visual appearance of an image, or to provide a “better transform representation for future automated image processing. The detail enhancement technique is really an extensively used image editing tool. Active detail enhancement algorithms provide edge-reserving decomposition algorithms. Any source image is initially decomposed in a base layer which usually is by means of homogeneous areas together with well-defined ends and a depth level which usually is made up of great information or even structure with the edgepreserving decomposition algorithm, after which a new detail-enhanced image is manufactured by amplifying the

Cite this paper

@inproceedings{Gadekar2016ImageDE, title={Image Detail Enhancement Techniques - A Brief Review}, author={Prakash R. Gadekar and Shradha B. Hedgire and Rajan S. Jamgekar}, year={2016} }