No-reference stereoscopic image quality assessment
| Autor: | Yuukou Horita, Roushain Akhter, Jacky Baltes, Z. M. Parvez Sazzad |
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| Rok vydání: | 2010 |
| Předmět: |
Image quality
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Stereoscopy Image processing computer.file_format Image segmentation JPEG Cyclopean image law.invention Display device law Feature (computer vision) Distortion Human visual system model Computer vision Segmentation Artificial intelligence business computer Image compression |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Display of stereo images is widely used to enhance the viewing experience of three-dimensional imaging and communication systems. In this paper, we propose a method for estimating the quality of stereoscopic images using segmented image features and disparity. This method is inspired by the human visual system. We believe the perceived distortion and disparity of any stereoscopic display is strongly dependent on local features, such as edge (non-plane) and non-edge (plane) areas. Therefore, a no-reference perceptual quality assessment is developed for JPEG coded stereoscopic images based on segmented local features of artifacts and disparity. Local feature information such as edge and non-edge area based relative disparity estimation, as well as the blockiness and the blur within the block of images are evaluated in this method. Two subjective stereo image databases are used to evaluate the performance of our method. The subjective experiments results indicate our model has sufficient prediction performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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