Improved estimation for just-noticeable visual distortion
Signal Processing
Just-noticeable difference estimation with pixels in images
Journal of Visual Communication and Image Representation
A perceptually optimized JPEG-LS coder for color images
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
No-reference noticeable blockiness estimation in images
Image Communication
Spatio-temporal just noticeable distortion profile for grey scale image/video in DCT domain
IEEE Transactions on Circuits and Systems for Video Technology
A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB)
IEEE Transactions on Image Processing
Adaptive Block-Size Transform Based Just-Noticeable Difference Profile for Images
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A perceptually optimized JPEG-LS coder for color images
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
PPIQ: a probabilistic framework for image quality assessment
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A new perceptual quality metric for video transrating for mobile devices
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Perceptually tuned subband coder for JPEG
Journal of Real-Time Image Processing
Human visual system for complexity reduction of image and video restoration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Optimal image restoration using HVS-based rate-distortion curves
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Self-similarity based structural regularity for just noticeable difference estimation
Journal of Visual Communication and Image Representation
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This paper presents a discrete cosine transform (DCT)-based locally adaptive perceptual image coder, which discriminates between image components based on their perceptual relevance for achieving increased performance in terms of quality and bit rate. The new coder uses a locally adaptive perceptual quantization scheme based on a tractable perceptual distortion metric. Our strategy is to exploit human visual masking properties by deriving visual masking thresholds in a locally adaptive fashion. The derived masking thresholds are used in controlling the quantization stage by adapting the quantizer reconstruction levels in order to meet the desired target perceptual distortion. The proposed coding scheme is flexible in that it can be easily extended to work with any subband-based decomposition in addition to block-based transform methods. Compared to existing perceptual coding methods, the proposed perceptual coding method exhibits superior performance in terms of bit rate and distortion control. Coding results are presented to illustrate the performance of the presented coding scheme