Minimum mean brightness error bi histogram equalization is used for image enhancement because of it’s optimal brightness preservation capability. Due to calculation of absolute mean brightness error at each gray level this technique need to repeat bi histogram equalization for all the gray levels present in the image. Computation time for this technique increase drastically with the size of image, which is not suitable for real time applications. In this paper, an algorithm has been...
This data center is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.
We found no citations for this software. For information on how to provide citation information, please see our documentation.
Is supplement to1