| Research & Reviews: Journal of Engineering and Technology | |
| Information Loss Reduction in Data Hiding using Visual Sensing Parameter Training Application | |
| article | |
| Shahin Shafei1  | |
| [1] Young Researchers and Elite Club, Mahabad Branch, Islamic Azad University | |
| 关键词: HVS; visual; image; | |
| 来源: Research & Reviews | |
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【 摘 要 】
The Human Visual System (HVS) is incredibly variable from one person to another and even under different conditions for the same person. Parameterizing allows for this -personalizationâ while maintaining the familiar property that, if a visually -fineâ image is added to another visually -fineâ image, the result should also be -fine.â we find that the separate operations generally work best when the parameter values are the same by insuring a visually pleasing result, this should help to improve image enhancement performance. Similar training methods have been introduced in the past and used for a number of applications. Further, we find that good results can be obtained without training the system for individual images, however by utilizing the training system on a specific problem one may have the best results.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202307140002767ZK.pdf | 93KB |
PDF