Performance Improvement of Image Enhancement Methods Using Statistical Moving Average Histogram Modification Filter

Most of the histogram equalization (HE) based image contrast enhancement methods are having a common problem that they over enhanced the highly frequent grey levels whereas less frequent grey levels are comparatively less enhanced. The reason behind this is that in most of the contrast enhancement methods (based on HE) the histogram transformation function is directly proportional to the frequency of occurrence of grey level in the image. This motivates us to design a tool to solve this problem. We propose a histogram modification filter based on moving average to deal with the above-mentioned problem. This filter works as a pre-processing step for most of the conventional HE based methods. Experimental results show that the proposed filter is able to enhance the performance of most of the conventional HE based methods. We have also designed a tool the implements all these methods, this tool is tested for real time video's frame enhancement.