Remote sensing image contrast and brightness enhancement based on Cuckoo search and DTCWT-SVD

This paper introduces a new contrast enhancement strategy based on Cuckoo Search and Dual Tree Complex Wavelet Transform-Singular Value Decomposition (DTCWT-SVD) applied on low contrast remotely sensed images. The local details of the image are first enhanced by using CLAHE and then DTCWT is applied which divides the image into various sub-bands and after that Cuckoo Search is applied which optimizes the sub-bands and lastly SVD is used which produces the singular value matrix of the decomposed image as any alteration to singular values changes the illumination of the input image. Then, we get an enhanced and optimized image which is sharper and brighter than before. The experimental analysis depicts the supremacy of the proposed method over conventional and state-of-the-art techniques in terms of Standard deviation, Mean, PSNR, MSE, RMSE and BER.