01318nam a2200097Ia 4500008004100000041001200041100002500053245010500078260004100183510099600224231221s9999    xx            000 0 und d  aEnglish  aVaishnavi Deshpande. 0aResource efficient c-clahe and comparision with other image enhancement algorithmsbSumanth Sakkara.  c2018-2019bPES UniversityaBengaluru  aContextual 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