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A Simple Nonlinearity Upgradation Based Method of Enhancing Low Light Images

As a human, we never impede ourselves to push our curiosity. As from need also from out of desire, we have always tried and trying to interpret the ambient that is bereft from light. Low light or virtually dark images are both challenging for us and our daily gadgets and cameras. An algorithm, with some notable observations and related works comparison, has been presented in this study. A captured image to be zero has been freed by adding a very negligible value with every pixel. After that, the maximum bright channel has been extracted and upscaled using gamma law and normalized intermediate bright portion of the image. Following this, the major contribution has applied and so saturation correction and value substitution with the original raw image are allowed us to reconstruct the image with better intensity, as described in the methodology. Throughout the study, simplicity, speed, and quality assurance have been focused on. According to the result of our study, the time requirement is 0. 09s with the average lightness order error (LOE) value 2.13 and all the findings of the study have been presented at the later portion of this paper.