01368nam a2200121Ia 4500 231221s9999 xx 000 0 und d English Vaishnavi Deshpande. Resource efficient c-clahe and comparision with other image enhancement algorithms Sumanth Sakkara. 2018-2019 PES University Bengaluru Contextual Contrast Limited Adaptive Histogram Equalization (C-CLAHE) is an effective method for solving the noise amplification effect of the adaptive histogram equalization (AHE), and enhancing the visibility of local details of an image. Even though C-CLAHE has a smaller memory foot print than CLAHE, complexity of the interpolation process increases the computation demand dramatically. Therefore, FPGA based implementations have been limited to CLAHE only. In this study three key modifications were introduced to the CCLAHE, and for the first time make it feasible to implement on a resource limited FPGA. Here restructured the method so that the histogram redistribution stage is realized with fewer number of iterations. Then implemented contrast limitation calculations earlier during the histogram generation stage instead of during the histogram redistribution stage, which reduces the block RAM demand and finally mathematically derive an alternative interpolation calculation u CD 237080 237080 2024-01-26 00:00:00 0 CD7207 2024-01-26 CD 0 0 0 0 ML ML 0000-00-00 EC/PG RS 1 0