A Medical Endoscope Image Enhancement Method Based on Improved Weighted Guided Filtering

Guo Zhang, Jinzhao Lin, Enling Cao, Yu Pang and Weiwei Sun
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Guo Zhang: School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Jinzhao Lin: College of Photoelectronic Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
Enling Cao: School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Yu Pang: College of Photoelectronic Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China
Weiwei Sun: College of Photoelectronic Engineering, Chongqing University of Posts and Telecommunication, Chongqing 400065, China

Mathematics, 2022, vol. 10, issue 9, 1-17

Abstract: In clinical surgery, the quality of endoscopic images is degraded by noise. Blood, illumination changes, specular reflection, smoke, and other factors contribute to noise, which reduces the quality of an image in an occluded area, affects doctors’ judgment, prolongs the operation duration, and increases the operation risk. In this study, we proposed an improved weighted guided filtering algorithm to enhance endoscopic image tissue. An unsharp mask algorithm and an improved weighted guided filter were used to enhance vessel details and contours in endoscopic images. The scheme of the entire endoscopic image processing, which included detail enhancement, contrast enhancement, brightness enhancement, and highlight area removal, is presented. Compared with other algorithms, the proposed algorithm maintained edges and reduced halos efficiently, and its effectiveness was demonstrated using experiments. The peak signal-to-noise ratio and structural similarity of endoscopic images obtained using the proposed algorithm were the highest. The foreground–background detail variance–background variance improved. The proposed algorithm had a strong ability to suppress noise and could maintain the structure of original endoscopic images, which improved the details of tissue blood vessels. The findings of this study can provide guidelines for developing endoscopy devices.

Keywords: contrast enhancement; detail enhancement; endoscopic image; tissue structure; secondary weighted guided filtering (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
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