Image Enhancement Method in Decompression Based on F-shift Transformation

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Fan, R
Li, X
Zhao, H
Zhang, H
Pang, C
Wang, J
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2020
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Abstract

In order to process a compressed image, such as a JPG image, a common way is to decompress the image first to get each pixel, and then process it. In this paper, we propose a method for image enhancement in the process of decompression. The image is compressed by using two-dimensional F-shift (TDFS) and two dimensional Haar wavelet transform. To enhance the image during decompression, firstly we adjust the brightness of the whole image by modifying the approximation coefficient and enhance the decompressed low frequency component part using the contrast limited adaptive histogram equalization (CLAHE) method. Finally, we decompose the remaining data and do the last step of image enhancement. Contrast with CLAHE and the state-of-art method, our method can not only combination merits of the spatial domain method and the transform domain method, but also can reduce the process complexity and maintain the compressibility of the original image.

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Communications in Computer and Information Science
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Artificial intelligence
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Fan, R; Li, X; Zhao, H; Zhang, H; Pang, C; Wang, J, Image Enhancement Method in Decompression Based on F-shift Transformation, Communications in Computer and Information Science, 2020, 1179, pp. 232-241