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A Robust Adaptive Haar Wavelet Transform global contrast enhancement


Article Information

Title: A Robust Adaptive Haar Wavelet Transform global contrast enhancement

Authors: Nayif Mohammed Hammash

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 19

Language: English

Categories

Abstract

Image compression is an approach designed to compress the image size and improve the visibility of image by increasing the image contrast. Several methods have been proposed to solve the visualization issue of compressed image; however, these techniques are problem-specific and hence their robustness are questionable. A robust lossy image compression method called Robust Adaptive Haar Wavelet Transform (RAHWT) augmented with Adaptive Multi Scale Retinex (AMSR) has been proposed to enhance the quality of compressed image. This paper proposes a new image compression technique for colour RGB images. This technique is developed to produce images of better contrast and smaller size. The output image is evaluated by using Peak-Signal-To-Noise Ratio (PSNR), Mean Square Error (MSE) and image size before and after compression (in KB).


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