Weighted Vector Quantization for Super Resolution Algorithm by Using Consistent Distance Metric

  • 周 郁倫

Student thesis: Master's Thesis

Abstract

Super resolution technology is generating a high-resolution (HR) image from a low-resolution (LR) image to get a better visual quality In this thesis a vector quantization (VQ) based super resolution algorithm is proposed Training a proper codebook is one of the significant factors in VQ To let the distance metric in training codebooks consistent with that in image reconstruction procedure the proposed method utilizes correlation coefficient as a new distance metric to generate a new kind of codebooks Since the new codebooks contain unit vectors the normalizing parameter will be multiplied by the selected code vectors in image reconstruction procedure Experimental results show that the proposed algorithm truly improve the visual quality with “natural detail”
Date of Award2015 Jul 28
Original languageEnglish
SupervisorShen-Chuan Tai (Supervisor)

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