What's wrong with mean-squared error?
Digital images and human vision
Video Processing and Communications
Video Processing and Communications
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Improved estimation for just-noticeable visual distortion
Signal Processing
The Essential Guide to Video Processing
The Essential Guide to Video Processing
Adaptive image coding with perceptual distortion control
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
A perceptually optimized 3-D subband codec for video communication over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
Variable block size coding of images with hybrid quantization
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Rate-constrained coder control and comparison of video coding standards
IEEE Transactions on Circuits and Systems for Video Technology
Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
Visual distortion gauge based on discrimination of noticeable contrast changes
IEEE Transactions on Circuits and Systems for Video Technology
Estimating Just-Noticeable Distortion for Video
IEEE Transactions on Circuits and Systems for Video Technology
The Technique of Prescaled Integer Transform: Concept, Design and Applications
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a novel Adaptive Block-size Transform (ABT) based Just-Noticeable Difference (JND) model for images/videos. Extension from 8x8 Discrete Cosine Transform (DCT) based JND model to 16x16 DCT based JND is firstly performed by considering both the spatial and temporal Human Visual System (HVS) properties. For still images or INTRA video frames, a new spatial selection strategy based on the Spatial Content Similarity (SCS) between a macroblock and its sub-blocks is proposed to determine the transform size to be employed to generate the JND map. For the INTER video frames, a temporal selection strategy based on the Motion Characteristic Similarity (MCS) between a macroblock and its sub-blocks is presented to decide the transform size for the JND. Compared with other JND models, our proposed scheme can tolerate more distortions while preserving better perceptual quality. In order to demonstrate the efficiency of the ABT-based JND in modeling the HVS properties, a simple visual quality metric is designed by considering the ABT-based JND masking properties. Evaluating on the image and video subjective databases, the proposed metric delivers a performance comparable to the state-of-the-art metrics. It confirms that the ABT-based JND consists well with the HVS. The proposed quality metric also is applied on ABT-based H.264/Advanced Video Coding (AVC) for the perceptual video coding. The experimental results demonstrate that the proposed method can deliver video sequences with higher visual quality at the same bit-rates.