Just noticeable distortion model and its applications in video coding

By Xiaokang Yang, W. Ling, Zhongkang Lu, Ee Ping Ong, Susu Yao. Signal processing. Image communication, 2005

350 citations recorded by the source corpus.

How researchers see this paper

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Image Quality Assessment Based on Gradient Similarity (2012, neutral): “Gradient value (same for ) is calculated as the maximum weighted average of difference for the block as [43]”
Perceptual visual quality metrics: A survey (2011, background): “Second, most of them are independent research topics themselves, like JND and VA modelling, and have other applications (image/video coding [10,194], watermarking [187], error resilience [48], computer graphics [136], just to name a few) in addition to PVQMs.”
Learning Convolutional Networks for Content-Weighted Image Compression (2017, background): “Different from [32], the importance map is learned from training data via joint rate-distortion optimization.”
Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain (2009, background): “It was also reported in some literature that JND has been applied in motion estimation [13], video conferencing [14] and digital watermarking [15]–[17].”