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<p>This paper makes a literature survey on biometric image quality assessment (BIQA) techniques focusing on physiological traits. It covers a wide range of methodologies, metrics and evaluation techniques. Objective image quality assessment (IQA) methods primarily focus on quantifying image quality using computational algorithms, while subjective IQA methods rely on human observers to provide quality ratings based on visual perception. The paper categorises the existing IQA techniques based on their characteristics and applications. It explores different types of distortion models, such as noise, blur, compression artefacts, and colour inconsistencies that are commonly encountered in digital images. Additionally, it investigates the influence of various factors on image quality, including image content, context and viewer preferences. The survey concludes by summarising the key findings and identifying the current trends and future directions in BIQA research.</p>

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Physiological biometric image quality assessment -a review

  • 期刊论文

  • 发表日期：

    2025年4月14日

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  • Parul Choudhary,
  • Pooja Pathak,
  • Phalguni Gupta

摘要

This paper makes a literature survey on biometric image quality assessment (BIQA) techniques focusing on physiological traits. It covers a wide range of methodologies, metrics and evaluation techniques. Objective image quality assessment (IQA) methods primarily focus on quantifying image quality using computational algorithms, while subjective IQA methods rely on human observers to provide quality ratings based on visual perception. The paper categorises the existing IQA techniques based on their characteristics and applications. It explores different types of distortion models, such as noise, blur, compression artefacts, and colour inconsistencies that are commonly encountered in digital images. Additionally, it investigates the influence of various factors on image quality, including image content, context and viewer preferences. The survey concludes by summarising the key findings and identifying the current trends and future directions in BIQA research.