Zhou Wang

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20162021

most citeddipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs

325 citations · 366 across the 7 of their papers we have counts for

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cs.CV2019★ 325 cited

dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs

Kede Ma, Wentao Liu, Tongliang Liu +2

Objective assessment of image quality is fundamentally important in many image processing tasks. In this work, we focus on learning blind image quality assessment (BIQA) models whi…

cs.CV2016

Image Super-Resolution Based on Sparsity Prior via Smoothed $l_{0}$ Norm

Mohammad Rostami, Zhou Wang

In this paper we aim to tackle the problem of reconstructing a high-resolution image from a single low-resolution input image, known as single image super-resolution. In the litera…

dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs

Image Super-Resolution Based on Sparsity Prior via Smoothed l0​ Norm

Image Super-Resolution Based on Sparsity Prior via Smoothed $l_{0}$ Norm