2022
DOI: 10.1002/rcs.2396
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Endoscopic image luminance enhancement based on the inverse square law for illuminance and retinex

Abstract: Background: In a single-port robotic system where the 3D endoscope possesses two bending segments, only point light sources can be integrated at the tip due to space limitations. However, point light sources usually provide non-uniform illumination, causing the endoscopic images to appear bright in the centre and dark near the corners.Methods: Based on the inverse square law for illuminance, an initial luminance weighting is first proposed to increase the image luminance uniformity. Then, a saturation-based mo… Show more

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Cited by 15 publications
(23 citation statements)
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“…In this section, we compare the results of our proposed EIEN method with the results of six representative image enhancement methods, including MSRCR [ 9 ], AGCWD [ 6 ], LIME [ 11 ], Wang et al [ 12 ], Retinex-Net [ 14 ], Zero-DCE [ 16 ]. The performance of the proposed algorithm is evaluated from both subjective and objective aspects.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
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“…In this section, we compare the results of our proposed EIEN method with the results of six representative image enhancement methods, including MSRCR [ 9 ], AGCWD [ 6 ], LIME [ 11 ], Wang et al [ 12 ], Retinex-Net [ 14 ], Zero-DCE [ 16 ]. The performance of the proposed algorithm is evaluated from both subjective and objective aspects.…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
“…The first row is the result of image enhancement, and the second row is the illumination component of the enhanced image, where the illuminance component is derived from our decomposition network. The figure shows that the enhancement results of other algorithms show over-enhancement or smoothing, while the image enhanced by EIEN has rich details [ 6 , 9 , 11 , 12 , 14 , 16 ].…”
Section: Figurementioning
confidence: 99%
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