Journal
ISA TRANSACTIONS
Volume 53, Issue 4, Pages 1286-1296Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2014.04.007
Keywords
Adaptive learning; CS algorithm; Wavelet thresholding; DWT-SVD; Image equalization and remote sensing; image contrast enhancement
Ask authors/readers for more resources
This paper presents a new contrast enhancement approach which is based on Cuckoo Search (CS) algorithm and DWT-SVD for quality improvement of the low contrast satellite images. The input image is decomposed into the four frequency subbands through Discrete Wavelet Transform (DWT), and CS algorithm used to optimize each subband of DWT and then obtains the singular value matrix of the low-low thresholded subband image and finally, it reconstructs the enhanced image by applying IDWT. The singular value matrix employed intensity information of the particular image, and any modification in the singular values changes the intensity of the given image. The experimental results show superiority of the proposed method performance in terms of PSNR, MSE, Mean and Standard Deviation over conventional and state-of-the-art techniques. (C) 2014 ISA. Published by Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available