Open AccessReduction based Histogram Equalization Technique for Image Enhancement
Author(s) -
Rupashri Barik,
Tanusree Saha,
Supriyo Chatterjee
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k1255.09811s19
Subject(s) - histogram equalization , adaptive histogram equalization , histogram matching , image histogram , artificial intelligence , histogram , balanced histogram thresholding , computer vision , pixel , color normalization , computer science , image quality , image (mathematics) , image enhancement , pattern recognition (psychology) , image processing , mathematics , image texture , color image
Here the proposed scheme mainly emphasizes the procedure of histogram equalization of images in more efficient way. Histogram equalization is required for image enhancement. Histogram spreads or flattens the histogram of an image and due to this the pixels with lower intensity values appear darker and the pixels with higher intensity values appear lighter. So the contrast of the input image is improved. For human interpretation various techniques of image enhancement have been widely used in different applications areas of image processing as the subjective quality of images is mainly important