DWT and P C a Based Image Enhancement with local Neighborhood filter Mask
R. Vani · IOSR Journal of Computer Engineering · 2013
In this letter, a new satellite image contrast enhance-ment technique based on the discrete wavelet transform (DWT) and singular value decomposition has been proposed. The tech-nique decomposes the input image into the four frequency sub-bands by using DWT and estimates the singular value matrix of the low-low subband image, and, then, it reconstructs the en-hanced image by applying inverse DWT. The technique is com-pared with conventional image equalization techniques such as standard general histogram equalization and local histogram equalization, as well as state-of-the-art techniques such as bright-ness preserving dynamic histogram equalization and singular value equalization. The experimental results show the superiority of the proposed method over conventional and state-of-the-art techniques.