title: Cuckoo search algorithm based satellite image contrast and brightness enhancement using DWT-SVD.
abstract: 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.
authors.affiliation: PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur 482011, MP, India.
authors.forename: A K
authors.initials: AK
authors.lastname: Bhandari
authors.affiliation: PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur 482011, MP, India.
authors.forename: V
authors.initials: V
authors.lastname: Soni
authors.affiliation: PDPM Indian Institute of Information Technology Design and Manufacturing, Jabalpur 482011, MP, India.
authors.forename: A
authors.initials: A
authors.lastname: Kumar
authors.affiliation: Department of Electrical Engineering, Indian Institute Technology Roorkee, Uttrakhand 247667, India.
authors.forename: G K
authors.initials: GK
authors.lastname: Singh
keywords: Adaptive learning; CS algorithm; DWT–SVD; Image equalization and remote sensing image contrast enhancement; Wavelet thresholding