Abstract
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.
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Barik, R., Saha, T., & Chatterjee, S. (2019). Reduction based histogram equalization technique for image enhancement. International Journal of Innovative Technology and Exploring Engineering, 8(11 Special Issue), 1268–1271. https://doi.org/10.35940/ijitee.K1255.09811S19
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