A SURVEY ON SUPER RESOLUTION TECHNIQUES

The main aim of super resolution image is to reconstruct a high-resolution(HR) image from low resolution images. Nowadays super resolution images are used in many applications such as, satellite image, medical image etc. In resolution enhancement of images the main loss is high frequency contents (edges) of the image. Hence in order to enhance the quality of image, preserving the edges is necessary. This paper compares various image resolution enhancement techniques such as discrete wavelet transform (DWT), stationary wavelet transform(SWT), dual tree complex wavelet transform (DT-CWT), wavelet zero padding (WZP), cycle spinning (CS), Vector-Valued Image Regularization with Partial Differential Equations (VVIR-PDE), Inter Sub band Correlation Technique (ISC).