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| Content Provider | IET Digital Library |
|---|---|
| Author | Uzair, Muhammad Dony, Robert D. |
| Abstract | Existing pixel-based just noticeable distortion (JND) models only take into account luminance adaptation and texture masking (TM). Similarly, existing discrete cosine transform (DCT) based models do not take into account foveal vision effects and do not estimate TM efficiently. As human visual system (HVS) is not sensitive to distortion below the JND threshold, estimation of the perceptual visibility threshold is widely used in digital and video processing applications. The authors propose a comprehensive and efficient pixel-based JND model incorporating all major factors which contribute to the JND estimation. The evaluation of contrast masking (CM) is done by distinguishing the edge and TM with respect to the entropy masking properties of the HVS. Similarly, the foveal vision effects are also taken into account for the comprehensive estimation of contrast sensitivity function (CSF). Hence, the proposed pixel-based JND model incorporates the spatio-temporal CSF, foveal vision effects, influence of eye-movement, luminance adaptation and CM to be more consistent with human perception. The incorporation of these important factors makes the proposed model the most comprehensive and efficient in the current literature. Psychophysical experiments were performed to test the proposed model. The results show the proposed model comprehensively outperforms other existing models proving its efficiency. |
| Starting Page | 559 |
| Ending Page | 567 |
| Page Count | 9 |
| ISSN | 17519659 |
| Volume Number | 11 |
| e-ISSN | 17519667 |
| Issue Number | Issue 8, Aug (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/11/8 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2016.1120 |
| Journal | IET Image Processing |
| Publisher Date | 2017-04-28 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Compression Computer Vision And Image Processing Technique Contrast Masking DCT Digital Processing Application Error Protection Estimating Just-noticeable Distortion Eye-movement Foveal Vision Effect Human Visual System HVS Image And Video Coding Image Segmentation Image Texture Image-videos JND Model JND Threshold Just Noticeable Distortion Luminance Adaptation Perceptual Visibility Threshold Pixel Domain Spatio-temporal CSF Texture Masking Video Coding Video Processing Application Video Signal Processing Vision Effect Visual Processing Visual Signal Restoration-enhancement Watermarking |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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