Improved estimation for just-noticeable visual distortion
Signal Processing
Just-noticeable difference estimation with pixels in images
Journal of Visual Communication and Image Representation
No-reference noticeable blockiness estimation in images
Image Communication
Bits allocation of matching pursuit video coder based on visual properties
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Perceptually tuned subband coder for JPEG
Journal of Real-Time Image Processing
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This paper involves designing, implementing, and testing of a locally adaptive perceptual masking threshold model for image compression. This model computes, based on the contents of the original images, the maximum amount of noise energy that can be injected at each transform coefficient that results in perceptually distortion-free still images or sequences of images. The adaptive perceptual masking threshold model can be used as a pre-processor to a JPEG compression standard image coder. DCT coefficients less than their corresponding perceptual thresholds can be set to zero before the normal JPEG quantization and Huffman coding steps. The result is an image-dependent gain in the bit rate needed for transparent coding. In an informal subjective test involving 318 still images in the AT&T Bell Laboratory image database, this model provided a gain in bit-rate saving on the order of 10 to 30%.