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PROJECT TITLE :

Super Resolution Image Generation Using Wavelet Domain Interpolation With Edge Extraction via a Sparse Representation - 2014

ABSTRACT:

This letter addresses the matter of generating a brilliant-resolution (SR) image from a single low-resolution (LR) input image in the wavelet domain. To achieve a sharper image, an intermediate stage for estimating the high-frequency (HF) subbands has been proposed. This stage includes a grip preservation procedure and mutual interpolation between the input LR image and therefore the HF subband pictures, as performed via the discrete wavelet transform (DWT). Sparse mixing weights are calculated over blocks of coefficients in an image, that provides a sparse signal illustration within the LR image. All of the subband pictures are used to generate the new high-resolution image using the inverse DWT. Experimental results indicated that the proposed approach outperforms existing ways in terms of objective criteria and subjective perception improving the image resolution.


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Image Resolution Image Representation Inverse Transforms Discrete Wavelet Transforms Edge Detection Interpolation Wavelet Domain Edge Extraction Sparse Mixing Estimators Super Resolution (Sr)
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