PLOS ONE RESEARCH ARTICLE Image-quality metric system for color filter array evaluation Tae Wuk BaeID* Daegu-Gyeongbuk Research Center, Electronics and Telecommunications Research Institute, Daegu, South Korea *
[email protected],
[email protected] a1111111111 Abstract a1111111111 a1111111111 A modern color filter array (CFA) output is rendered into the final output image using a a1111111111 a1111111111 demosaicing algorithm. During this process, the rendered image is affected by optical and carrier cross talk of the CFA pattern and demosaicing algorithm. Although many CFA pat- terns have been proposed thus far, an image-quality (IQ) evaluation system capable of com- prehensively evaluating the IQ of each CFA pattern has yet to be developed, although IQ evaluation items using local characteristics or specific domain have been created. Hence, OPEN ACCESS we present an IQ metric system to evaluate the IQ performance of CFA patterns. The pro- Citation: Bae TW (2020) Image-quality metric posed CFA evaluation system includes proposed metrics such as the moire robustness system for color filter array evaluation. PLoS ONE 15(5): e0232583. https://doi.org/10.1371/journal. using the experimentally determined moire starting point (MSP) and achromatic reproduc- pone.0232583 tion (AR) error, as well as existing metrics such as color accuracy using CIELAB, a color Editor: Hocine Cherifi, Unviersity of Burgundy, reproduction error using spatial CIELAB, structural information using the structure similarity, FRANCE the image contrast based on MTF50, structural and color distortion using the mean deviation Received: October 7, 2019 similarity index (MDSI), and perceptual similarity using Haar wavelet-based perceptual simi- larity index (HaarPSI).