Abstract
The growing demand for transmission and storage of images has spurred much effort in improving image compression techniques. To achieve this goal, one promising approach is to integrate properties of the HVS into image compression techniques [JJS93]. The central idea of such approach is to embed coding distortion beneath the spatial visibility threshold of the HVS. This threshold is commonly referred as the JND threshold [JJS93] as it specifies the minimum sensory difference that is detectable by the HVS. In the context of image compression, a perceptually perfect image is obtained at the lowest possible bit-rate [JJS93] if the coding error of each pixel in a compressed image is exactly at level of JND.
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Tan, EL., Gan, WS. (2015). Computational Models for Just-Noticeable Differences. In: Perceptual Image Coding with Discrete Cosine Transform. SpringerBriefs in Electrical and Computer Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-287-543-3_2
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DOI: https://doi.org/10.1007/978-981-287-543-3_2
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-287-543-3
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