Quaternion-based local and global color image enhancement algorithm

Many images like medical images, satellite images, and real-life photographs may suffer poor contrast degradation. Image enhancement is the image processing of improving the quality that the results are more suitable for display or further image analysis. In this paper, we present the detailed model for color image enhancement using the Hamiltonian quaternion framework. We introduce a novel quaternionic frequency enhancement algorithm which can combine the color channels and the local and global image processing. The basic idea is to apply a-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks. The parameter alfa for every block driven through optimization of measure of enhancement (EME). The resulting image is a weighted mean of all processing blocks. The weights for every local and global enhanced image driven through optimization of measure of enhancement (EME). Some presented experimental results illustrate the performance of the proposed approach on color images in comparison with the state-of-the-art methods.