Lossy Image Compression using Novel Block Truncation Coding in Public Cloud
Author:
Affiliation:
1. Bharathiar University, Coimbatore
2. Mepco Schlenk Engineering College, Sivakasi
Abstract
Publisher
Naksh Solutions
Subject
General Medicine
Reference6 articles.
1. Chen, Yan-Hong, Chin-Chen Chang, Chia-Chen Lin, and Cheng-Yi Hsu. "Content-based color image retrieval using block truncation coding based on binary ant colony optimization." Symmetry 11, no. 1 (2019): 21.
2. Chen, Yung-Yao, Chih-Hsien Hsia, Kuan-Yu Chi, and Bo-Yan Chen. "High-quality and high-capacity data hiding based on absolute moment block truncation coding." Journal of Internet Technology 20, no. 2 (2019): 379-387.
3. Delp, Edward, and O. Mitchell. "Image compression using block truncation coding." IEEE transactions on Communications 27, no. 9 (1979): 1335-1342.
4. Dhara, Bibhas Chandra, and Bhabatosh Chanda. "Color image compression based on block truncation coding using pattern fitting principle." Pattern Recognition 40, no. 9 (2007): 2408-2417.
5. Jiang, Mingfang, and Hengfu Yang. "Secure outsourcing algorithm of BTC feature extraction in cloud computing." IEEE Access 8 (2020): 106958-106967.
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