Zobrazeno 1 - 7
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pro vyhledávání: '"Shih-Hsu Chang"'
Autor:
Shih-Hsu Chang, 張世旭
88
More recently, the exponential growth of the Internet has created the potential for both business-to-business transactions and business-to-consumer transactions. It is desired to conduct these transactions across open networks. It is inevitab
More recently, the exponential growth of the Internet has created the potential for both business-to-business transactions and business-to-consumer transactions. It is desired to conduct these transactions across open networks. It is inevitab
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/93331281589796583349
Publikováno v:
Pattern Recognition Letters. 20:1545-1552
An automatic seal identification algorithm is proposed. The algorithm uses the point matching technique to register the seals quickly and accurately. To increase the identification rate, the fake detection algorithm is proposed to remove the over-ink
Publikováno v:
Pattern Recognition. 30:311-320
Based on 2-D cluster approach, a fast algorithm for point pattern matching is proposed to effectively solve the problems of optimal matches between two point pattern under geometrical transformation and correctly identify the missing or spurious poin
Autor:
Huang, Hui-Yu, Shih-Hsu Chang
In this paper, we propose a high capacity image hiding technology based on pixel prediction and the difference of modified histogram. This approach is used the pixel prediction and the difference of modified histogram to calculate the best embedding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55f68aae8d80ad30c407330417eac26d
Autor:
Hui-Yu Huang, Shih-Hsu Chang
Publikováno v:
CIMSIVP
In this paper, a fast motion estimation algorithm combined hybrid predictor and search pattern (called HPS) is proposed to find the best motion vector (MV). Block-based motion estimation (ME) and pattern searching strategy are used to detect the fast
Autor:
Hui-Yu Huang, Shih-Hsu Chang
Publikováno v:
CIMSIVP
In this paper, a lossless data-hiding approach is presented based on quantized coefficients of discrete wavelet transform (DWT) in the frequency domain to embed secret message. Using the quantized coefficients for 9/7 wavelet filter in DWT, we embed
Autor:
Hu-Yu Huang, Shih-Hsu Chang
Publikováno v:
CIT
In this paper, a lossless data-hiding scheme is presented based on quantized coefficients of discrete wavelet transform (DWT) in the frequency domain to embed secret message. Using the quantized DWT-based method, we embed secret data into the success