Color Restoration Method for Endoscope Image Using Multiscale Discriminator Based Model Compression Strategy

Hao, Pengcheng; Ai, Danni; Zang, Liugeng; Fan, Jingfan; Yang, Jian

doi:10.1109/iccia55271.2022.9828438

Cited by 1 publication

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“…Research on colour image restoration is not only of great value for enhancing visual effect and quality of images, but also important for many practical application scenarios, for instance, in remote sensing imaging, image quality can directly affect the recognition and classification of surface features [10][11][12]; in medical imaging, image quality is closely related to the accurate diagnosis of diseases [13][14][15]; in security monitoring and automatic driving, image quality determines the accuracy of target detection and tracking [16][17][18][19]. Therefore, the research on colour image restoration is of utterly importance for the application of images in various fields.…”

Section: Introductionmentioning

confidence: 99%

A New Deep Learning-Based Restoration Method for Colour Images

2023

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As color images have been widely used in many fields, their restoration problem has received wide attention from researchers. This study proposed two solutions for denoising and low illuminance enhancement problems of existing color image restoration methods. At first, this paper built a colour image denoising model of weighted Schatten-p norm based on deep learning, which fully considers differences in the noise level of each channel of colour images, and could give a better denoising effect. Then, this study proposed a low illuminance color image enhancement algorithm that combines Gamma transform and Contrast Limited Adaptive Histogram Equalization (CLAHE), which could better balance image contrast enhancement and noise suppression. Studies of these two parts have both gained good results in terms of theory and experiment, and they could push the progress of colour image restoration technology and provide valuable references for related fields.

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Section: Introductionmentioning

confidence: 99%

A New Deep Learning-Based Restoration Method for Colour Images

2023

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Color Restoration Method for Endoscope Image Using Multiscale Discriminator Based Model Compression Strategy

Cited by 1 publication

References 20 publications

A New Deep Learning-Based Restoration Method for Colour Images

A New Deep Learning-Based Restoration Method for Colour Images

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