A steganographic method for digital images using side match
โ Scribed by Chin-Chen Chang; Hsien-Wen Tseng
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 447 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0167-8655
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Computerized matching of skin images has been suggested as a means of screening for changes indicative of malignant melanoma. Matching or "registering" each lesion in a pair of images plays an important role in this process. Point-pattern matching algorithms based upon correlation or geometric trans
The side-match finite-state vector quantization (SMVQ) schemes improve performance over the vector quantization by exploiting the neighboring vector correlations within the image. In this paper, we propose a neural network side-match finite-state vector quantization (NN-SMVQ) scheme that combines th
For region matching in stereoscopic images, most existing algorithms used the adjacency constraint (AC) between regions. However, in the case where there are occluded objects in the stereo images, this constraint may be violated. Therefore, there remain false matches and miss-correspondences in the