21 July 2017 Effects of empty bins on image upscaling in capsule endoscopy
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104202P (2017) https://doi.org/10.1117/12.2281577
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
Abstract
This paper presents a preliminary study of the effect of empty bins on image upscaling in capsule endoscopy. The presented study was conducted based on results of existing contrast enhancement and interpolation methods. A low contrast enhancement method based on pixels consecutiveness and modified bilinear weighting scheme has been developed to distinguish between necessary empty bins and unnecessary empty bins in the effort to minimize the number of empty bins in the input image, before further processing. Linear interpolation methods have been used for upscaling input images with stretched histograms. Upscaling error differences and similarity indices between pairs of interpolation methods have been quantified using the mean squared error and feature similarity index techniques. Simulation results demonstrated more promising effects using the developed method than other contrast enhancement methods mentioned.
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Olivier Rukundo, "Effects of empty bins on image upscaling in capsule endoscopy ", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104202P (21 July 2017); doi: 10.1117/12.2281577; https://doi.org/10.1117/12.2281577
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