1. Image resolution enhancement using wavelet approach: a review
Authors : Supriya Jarande, Premanand Kadbe, Anil Bhagat
Pages : 420-422
Keywords : Wavelet Zero Padding (WZP)Discrete Wavelet Transform(DWT)Stationary Wavelet Transform (SWT)Image super resolution Cycle-SpinningLow Resolution(LR)High resolution(HR) De-noising. Abstract :
Comparison of various image super resolution enhancement techniques in wavelet domains is studied. We analyzed various wavelet domain based methods such as wavelet zero padding(WZP), Discrete Wavelet Transform(DWT), Stationary Wavelet Transform(SWT), Cycle-spinning, Dual Tree-Complex Wavelet Transform. The most common feature of these algorithms is that they use the spatial information of low resolution image (image in which sharp edges are absent) as an input image which is then decomposed into different sub bands by using a specific wavelet transform. The high and low frequency components of image are obtained after decomposition of original image. These sub band images as well as input image were interpolated. All these images were added to generate a new resolution enhanced image by using an inverse transform.
Citing this Journal Article :Supriya Jarande, Premanand Kadbe, Anil Bhagat, "Image resolution enhancement using wavelet approach: a review ", Volume 6 Issue 3 - January 2016, 420-422
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