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Arabian Journal for Science and Engineering

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27-09-2019 | Research Article - Electrical Engineering

Adaptive Geometric Filtering Based on Average Brightness of the Image and Discrete Cosine Transform Coefficient Adjustment for Gray and Color Image Enhancement

Authors: Shubhi kansal, Rajiv Kumar Tripathi

Published in: Arabian Journal for Science and Engineering | Issue 3/2020

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Abstract

An adaptive geometric filter approach based on average brightness of the image and discrete cosine transform (DCT) coefficient adjustment is proposed in this paper for gray and color image enhancement. Adaptive geometric filter is employed for smoothing the histogram peaks before histogram equalization and DCT coefficient adjustment is applied for enhancing the fine details of the image. The proposed method is compared with the state-of-the-art other contrast enhancement techniques. Experimental results show that proposed technique exceeds the other compared methods both visually and quantitatively. Three metrics are evaluated for numerical assessment that are entropy, quality index and measure of enhancement (EME). Also color quality enhancement metric is tested for color images. After thorough study, it is concluded that our method intensifies the image contrast very well and also preserves the original characteristics of the input images.

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Title: Adaptive Geometric Filtering Based on Average Brightness of the Image and Discrete Cosine Transform Coefficient Adjustment for Gray and Color Image Enhancement
Authors: Shubhi kansal
Rajiv Kumar Tripathi
Publication date: 27-09-2019
Publisher: Springer Berlin Heidelberg
Published in: Arabian Journal for Science and Engineering / Issue 3/2020
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI: https://doi.org/10.1007/s13369-019-04151-8

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