Abstract
Advances in imaging and computing hardware have led to an explosion in the use of color images in image processing, graphics and computer vision applications across various domains such as medical imaging, satellite imagery, document analysis and biometrics to name a few. However, these images are subjected to wide variety of distortions during its acquisition, subsequent compression, transmission, processing and then reproduction, which degrade their visual quality. Hence objective quality assessment of color images has emerged as one of the essential operation in image processing. During the last two decades, efforts have been put to design such an image quality metric which can be calculated simply but can accurately reflect subjective quality of human perception. In this paper, we evaluated the quality assessment of color images using CIE proposed Lab color space, which is considered to be perceptually uniform space. In addition we have used two different approaches of quality assessment namely, metric based and distance based.
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Chandrakanth, T., Sandhya, B. (2015). Quality Assessment of Images Using SSIM Metric and CIEDE2000 Distance Methods in Lab Color Space. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_50
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DOI: https://doi.org/10.1007/978-3-319-12012-6_50
Publisher Name: Springer, Cham
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