Related Work on Image Quality Assessment

• URL: http://arxiv.org/abs/2111.06291v1
• Date: Thu, 11 Nov 2021 16:11:27 GMT
• Title: Related Work on Image Quality Assessment
• Authors: Dongxu Wang
• Abstract summary: Image quality assessment (IQA) plays a vital role in image-based applications. This article will review the state-of-the-art image quality assessment algorithms.
• Score: 0.103341388090561
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Due to the existence of quality degradations introduced in various stages of visual signal acquisition, compression, transmission and display, image quality assessment (IQA) plays a vital role in image-based applications. According to whether the reference image is complete and available, image quality evaluation can be divided into three categories: Full-Reference(FR), Reduced- Reference(RR), and Non- Reference(NR). This article will review the state-of-the-art image quality assessment algorithms.

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