Survey of image quality measurements
ACM '86 Proceedings of 1986 ACM Fall joint computer conference
Application of Task-Specific Metrics in JPEG2000 ROI Compression
SSIAI '02 Proceedings of the Fifth IEEE Southwest Symposium on Image Analysis and Interpretation
Compression of mammograms for medical practice
Proceedings of the 2004 ACM symposium on Applied computing
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
International Journal of Computer Vision
Image and Vision Computing
Image compression: Maxshift ROI encoding options in JPEG2000
Computer Vision and Image Understanding
A natural image quality evaluation metric
Signal Processing
Region-of-Interest Image Coding Based on Perceptually Optimized Bitplane Realignment
ICECT '09 Proceedings of the 2009 International Conference on Electronic Computer Technology
JPEG2000 ROI coding method with perfect fine-grain accuracy and lossless recovery
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Wavelet-Based image compression with polygon-shaped region of interest
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
JPEG2000 encoding with perceptual distortion control
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
Evaluation of detection methods in an image edge error measure
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
| Hi-index | 0.00 |
A perceptual measure emulates the human vision for image quality assessment. This paper illustrates the evaluation of Region-of-Interest (ROI) coders using perceptual image quality assessments. The goal of this evaluation is to characterize the coder performance by controlling the ROI quality. Perceptual measures are taken into account for evaluation since they behave as a human-made evaluation. Moreover, a perceptual assessment named Wavelet Quality Index (WQI), is introduced as another image coder evaluator. Proposed assessment aims at emulating the human vision by a weighted linear combination of three wavelet-based perceptual measures. We evaluate the following types of ROI-coders: those preserving the quality of ROI by coarse compression of background (Max-Shift coder), and those balancing the quality between ROI and background (SCM-Shift, and BbB-Shift coders). Using considered assessments for the performance evaluation of coders, results show a variation of evaluation by nature of measurement.