Yayci Z.O.Dura U.Kaya Z.B.Cetin A.E.Türkan, Mehmet2023-06-162023-06-1620229.78E+121522-4880https://doi.org/10.1109/ICIP46576.2022.9898049https://hdl.handle.net/20.500.14365/3552The Institute of Electrical and Electronics Engineers Signal Processing Society29th IEEE International Conference on Image Processing, ICIP 2022 -- 16 October 2022 through 19 October 2022 -- 185922The restrictions of accessing high-end microscopes, microscale cameras and high-tech imaging lenses result in a high demand on low-cost microscopes. However, low-cost microscopes are facing with many image capture and quality limitations due to incompatible equipped instrumentation. This study aims at overcoming illumination and contrast problems, color aberration issues, and blur and noise corruption in low-cost microscopes at high image magnification rates. The three color channels of the input image are enhanced via principal component analysis and well-exposedness feature maps by means of cross-channel histogram matching, Laplacian and non-local means filtering. The proposed approach produces sharper, and better color and illumination fixed outputs when compared to existing methods in literature. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessbiomedical image enhancementcross-channel histogram matchingMicroscale image enhancementprinciple component analysiswell-exposednessColorColor matchingCostsGraphic methodsImage analysisImage enhancementPrincipal component analysisBiomedical image enhancementBiomedical imagesCross-channel histogram matchingHigh techHistogram matchingImaging lensLow-costsMicroscale image enhancementPrinciple components analysisWell-exposednessMicroscopesConference Object10.1109/ICIP46576.2022.98980492-s2.0-85146693263