RT Journal Article ID 782d5b0a66dd1a58 A1 Chavez-Roman, H. A1 Duchen-Sanchez, Gonzalo A1 Kravchenko, Victor Filippovich A1 Ponomaryov, Volodymyr T1 IMAGE RESOLUTION ENHANCEMENT USING EDGE EXTRACTION, SPARSE REPRESENTATION AND INTERPOLATION IN WAVELET DOMAIN JF Telecommunications and Radio Engineering JO TRE YR 2013 FD 2013-10-31 VO 72 IS 19 SP 1803 OP 1820 K1 super resolution K1 interpolation K1 edge extraction K1 wavelet domain K1 sparse mixing estimators AB Over the past few years, high-resolutions (HR) are desirable or essential, e.g., in online video systems, and therefore much has been done to achieve an image of higher resolution from the corresponding low resolution (LR) images. This procedure of recover or rebuild is called single image super-resolution (SR). This study addresses the problem of generating a SR image from a LR input image in the wavelet domain. In order to achieve a sharper image, an intermediate stage for estimating the high-frequency (HF) sub-bands has been proposed. It includes an edge preservation procedure and mutual interpolation between the input LR image and the HF sub-band images performed via the discrete wavelet transform (DWT). Sparse mixing weights are calculated over blocks of coefficients in an image, providing a sparse signal representation in the LR image. All sub-band images are used to generate the new HR image employing the inverse DWT. Experimental results have shown that the proposed approach outperforms existing methods in terms of objective criteria and subjective perception via human visual system, improving the image resolution. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,64c1d07910197f4a,782d5b0a66dd1a58.html