Stripe Noise Separation and Removal in Remote Sensing Images

Stripe commotion evacuation (destriping) is a basic issue in remote detecting image preparing that holds huge pragmatic significance for resulting applications. In this paper, the images and stripe parts are treated similarly and change over the image destriping undertaking as an image disintegration issue normally. We propose a method for stripe separation and removal under an optimization-based framework, without the need to obtain the specific locations of the stripes in advance. Here homomorphic filtering is used to obtain clear enhanced image and DWT is applied to striped image obtained after stripe noise (J. Fehrenbach, et al., IEEE Trans. Image Process. 21, 4420 (2012)). This inturn is destriped by means of ADMM. This approach is applied by decomposing the complex problem into some simpler subproblems. The ADMM algorithm, which has become a powerful approach for total variation minimization in image processing is used.