Improved hybrid method for image super‐resolution. Issue 8 (5th July 2016)

• Record Type: Journal Article
• Authors: Xing, Weiwei; Zhao, Yahui; Bao, Ergude
• Is Part Of: IET computer vision. Volume 10:Issue 8(2016)
• Page Start: 769
• Page End: 779
• Publication Date: 2016-07-05
• Subjects: image resolution -- image reconstruction; image superresolution -- image resolution improvement -- ASDS hybrid method improvement -- reconstruction-based method -- example-based method -- Zeyde method -- image splitting -- high-quality image production; Computer vision -- Periodicals; Pattern recognition systems -- Periodicals; 006.37
• DOI: 10.1049/iet-cvi.2015.0464
• Languages: English
• ISSNs: 1751-9632

Abstract

Abstract : Improving image resolution has broad applications and is an important research topic. Recently, a hybrid method Adaptive Sparse Domain Selection (ASDS) combining a reconstruction‐based method and an example‐based method has been proposed to take advantage of the two, but may not reconstruct sufficient details. In this study, the authors propose to improve ASDS: Zeyde's method is first used to obtain an intermediate image with high‐frequency details, and then the obtained image is used to replace the autoregressive model of ASDS as the example‐based term. In addition, the authors may split the input image into patches and use different parameter settings for the patches of different amount of details. Experimental results demonstrate the improved hybrid methods can produce high‐quality images quantitatively and perceptually.