Quaternion-based local and global color image enhancement algorithm
Viacheslav Voronin, Evgeny A. Semenishchev, Alexander A. Zelensky, Sos С. Agaian · 2019
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 a Hamiltonian quaternion framework-based model for color image enhancement. The basic idea is to apply α-rooting image enhancement approach for different image blocks. For this purpose, we split image in moving windows on disjoint blocks. The resulting image is a weighted mean of all processing blocks. The weights for every local and global enhanced image driven through optimization using a measure of enhancement (EME) as a cost function. We demonstrate our color image enhancement scheme and compare it with other state-of-the-art methods. The extensive computer simulations indicate that the proposed method outperforms the commonly used methods in both visual image quality and statistical information.