Detecting and restoring the tampered images based on iteration-free fractal compression
| Autor: | Shao-Hau He, Ching-Te Wang, Tung-Shou Chen |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Pixel
Computer science business.industry Binary image Fractal transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Image texture Hardware and Architecture Fractal compression Computer vision Artificial intelligence business Software Image restoration Information Systems Feature detection (computer vision) Image compression |
| Zdroj: | Journal of Systems and Software. 67:131-140 |
| ISSN: | 0164-1212 |
| DOI: | 10.1016/s0164-1212(02)00094-8 |
| Popis: | In current research, fractal image compression scheme has been used to compress images. In this paper, we apply this technique to refine characteristic values of a specific image and embed the characteristic values into the least significant bits of pixels in the image. Once the picture is damaged by an intruder, the system can detect the tampered blocks and restore them using characteristic values without requiring the original image. From experimental results, we see that the proposed scheme can precisely achieve the detection of a damaged image and improve the performance of image restoration. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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