10 April 2018 Half-unit weighted bilinear algorithm for image contrast enhancement in capsule endoscopy
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106152Q (2018) https://doi.org/10.1117/12.2303397
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
This paper proposes a novel enhancement method based exclusively on the bilinear interpolation algorithm for capsule endoscopy images. The proposed method does not convert the original RBG image components to HSV or any other color space or model; instead, it processes directly RGB components. In each component, a group of four adjacent pixels and half-unit weight in the bilinear weighting function are used to calculate the average pixel value, identical for each pixel in that particular group. After calculations, groups of identical pixels are overlapped successively in horizontal and vertical directions to achieve a preliminary-enhanced image. The final-enhanced image is achieved by halving the sum of the original and preliminary-enhanced image pixels. Quantitative and qualitative experiments were conducted focusing on pairwise comparisons between original and enhanced images. Final-enhanced images have generally the best diagnostic quality and gave more details about the visibility of vessels and structures in capsule endoscopy images.
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Olivier Rukundo, Olivier Rukundo, } "Half-unit weighted bilinear algorithm for image contrast enhancement in capsule endoscopy", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106152Q (10 April 2018); doi: 10.1117/12.2303397; https://doi.org/10.1117/12.2303397
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