Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
Olivier Rukundo, Marius Pedersen, {\O}istein Hovde

TL;DR
This paper introduces a novel contrast enhancement method for capsule endoscopy images that improves visibility of distant vessels and structures by combining algorithms tailored for darker and brighter areas, validated by expert assessment.
Contribution
The paper presents a new combined enhancement algorithm (PM) that effectively enhances both dark and bright regions in capsule endoscopic images, improving diagnostic visibility.
Findings
Enhanced images improved vessel visibility and contrast.
Expert evaluation favored the proposed method over existing techniques.
The method effectively avoids overexposure and preserves image hue.
Abstract
This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of capsule endoscopic images. The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively. The half-unit weighted bilinear algorithm (HWB) proposed in our previous work is used to enhance darker areas according to the darker map content of its HSV's component V. Enhancement of brighter areas is achieved thanks to the novel thresholded weighted-bilinear algorithm (TWB) developed to avoid overexposure and enlargement of specular highlight spots while preserving the hue, in such areas. The TWB performs enhancement operations following a gradual increment of the brightness of the brighter map…
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