A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
What's wrong with mean-squared error?
Digital images and human vision
Video Processing and Communications
Video Processing and Communications
Digital Pictures: Representation and Compression
Digital Pictures: Representation and Compression
Improved estimation for just-noticeable visual distortion
Signal Processing
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
Adaptive image coding with perceptual distortion control
IEEE Transactions on Image Processing
Modeling visual attention's modulatory aftereffects on visual sensitivity and quality evaluation
IEEE Transactions on Image Processing
A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile
IEEE Transactions on Circuits and Systems for Video Technology
A perceptually optimized 3-D subband codec for video communication over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Rate control for videophone using local perceptual cues
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
Estimating Just-Noticeable Distortion for Video
IEEE Transactions on Circuits and Systems for Video Technology
Block Based Video Data Hiding Using Repeat Accumulate Codes and Forbidden Zone Data Hiding
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information 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
Modeling the masking effect of the human visual system with visual attention model
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A new perceptual quality metric for video transrating for mobile devices
Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing
Scalable and credible video watermarking towards scalable video coding
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A new spatio-temporal JND model based on 3D pyramid decomposition
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Mobile JND: environment adapted perceptual model and mobile video quality enhancement
Proceedings of the 3rd Multimedia Systems Conference
Perceptual differential energy watermarking for H.264/AVC
Multimedia Tools and Applications
Hi-index | 0.00 |
In image and video processing field, an effective compression algorithm should remove not only the statistical redundancy information but also the perceptually insignificant component from the pictures. Just-noticeable distortion (JND) profile is an efficient model to represent those perceptual redundancies. Human eyes are usually not sensitive to the distortion below the JND threshold. In this paper, a DCT based JND model for monochrome pictures is proposed. This model incorporates the spatial contrast sensitivity function (CSF), the luminance adaptation effect, and the contrast masking effect based on block classification. Gamma correction is also considered to compensate the original luminance adaptation effect which gives more accurate results. In order to extend the proposed JND profile to video images, the temporal modulation factor is included by incorporating the temporal CSF and the eye movement compensation. Moreover, a psychophysical experiment was designed to parameterize the proposed model. Experimental results show that the proposed model is consistent with the human visual system (HVS). Compared with the other JND profiles, the proposed model can tolerate more distortion and has much better perceptual quality. This model can be easily applied in many related areas, such as compression, watermarking, error protection, perceptual distortion metric, and so on.