EVALUATING IMAGE CONTRAST: A COMPREHENSIVE REVIEW AND COMPARISON OF METRICS

Cristian Avatavului () and Marcel Prodan ()
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Cristian Avatavului: University Politehnica of Bucharest, Romania

Journal of Information Systems & Operations Management, 2023, vol. 17, issue 1, 143-160

Abstract: Image contrast plays a pivotal role in the realm of digital imaging and computer vision, significantly influencing the visual quality and subsequent interpretation of images. Evaluating and quantifying this contrast has emerged as a critical need in a wide spectrum of applications, including medical imaging, remote sensing, and digital photography, among others. This paper offers a comprehensive review of various metrics available for the evaluation of image contrast, focusing on their underlying formulas, interpretations, advantages, disadvantages, and pertinent usage scenarios. The study compares metrics from histogram-based, spatial frequency-based, and statistical perspectives. It explores the computational complexity, accuracy, and robustness of these metrics, including their sensitivity to noise and other image degradations. Further, we discuss the real-world applications of these metrics in the domains of image enhancement, image quality assessment, and image compression. We also outline current challenges and propose future research directions for developing more robust and versatile contrast metrics. Our findings underscore the importance of an appropriate choice of contrast metric for effective image analysis and processing in various application settings.

Date: 2023
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