Abstract
It is seen that real world photography produces inaccurate colours when displayed on any digital screen. Most computer systems have gamma correction algorithms to increase colour accuracy, which have a number of drawbacks. This paper aims to formulate a novel approach to contrast correct through the use of indigenous pixel values of each individual channel. Allowing the gamma correction algorithm to have a larger pixel dependant intercept aids in evenly balancing contrast in relatively dark (low contrast) and comparatively bright (high contrast) portions of the subject picture. Comparative studies on Low Dynamic Range (LDR) pictures have been done to show the difference in outcomes obtained using the suggested technique, the Pixel Adaptive Gamma Correction (PAGC) methodology. With our suggested strategy, we gained absolute supremacy in the entropy score as well as the colourfulness measure over standard gamma correction and histogram equalisation contrast-adjustment techniques.
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Panigrahi, S., Roul, A., Dash, R. (2022). A Pixel Dependent Adaptive Gamma Correction Based Image Enhancement Technique. In: Das, A.K., Nayak, J., Naik, B., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2022. Lecture Notes in Networks and Systems, vol 480. Springer, Singapore. https://doi.org/10.1007/978-981-19-3089-8_14
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DOI: https://doi.org/10.1007/978-981-19-3089-8_14
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