15 papers · ranked by Valyu relevance
Grzegorz Ulacha, Ryszard Stasiński, Cezary Wernik
In this paper, the most efficient (from data compaction point of view) and current image lossless coding method is presented. Being computationally complex, the algorithm is still more time efficient than its main competitors. The presented cascaded method is based on the Weighted Least Square (WLS) technique, with…
Jingjian Li, Wei Wang, Hong Mo, Mengting Zhao + 3 more
'Derya Malak' 'Song-Nam Hong'] A distributed arithmetic coding algorithm based on source symbol purging and using the context model is proposed to solve the asymmetric Slepian-Wolf problem. The proposed scheme is to make better use of both the correlation between adjacent symbols in the source sequence and the…
Yi Niu, Mingming Ma, Fu Li, Xianming Liu + 1 more
Background With the rapid development of high-throughput sequencing technology, the cost of whole genome sequencing drops rapidly, which leads to an exponential growth of genome data. How to efficiently compress the DNA data generated by large-scale genome projects has become an important factor restricting the further…
Wei-Gang Chen, Xun Wang
High efficiency video coding (HEVC) seeks the best code tree configuration, the best prediction unit division and the prediction mode, by evaluating the rate-distortion functional in a recursive way and using a “try all and select the best” strategy. Further, HEVC only supports context adaptive binary arithmetic coding…
Grzegorz Ulacha, Mirosław Łazoryszczak, T. Aaron Gulliver, Jun Chen
This paper presents a method for lossless compression of images with fast decoding time and the option to select encoder parameters for individual image characteristics to increase compression efficiency. The data modeling stage was based on linear and nonlinear prediction, which was complemented by a simple block for…
Ping Ang Hsieh, Ja-Ling Wu, Amelia Carolina Sparavigna
The Asymmetric Numeral System (ANS) is a new entropy compression method that the industry has highly valued in recent years. ANS is valued by the industry precisely because it captures the benefits of both Huffman Coding and Arithmetic Coding. Surprisingly, compared with Huffman and Arithmetic coding, systematic…
Wei Wang, Jianhua Chen
In order to effectively improve the quality of side information in distributed video coding, we propose a side information generation scheme based on a coefficient matrix improvement model. The discrete cosine transform coefficient bands of the Wyner-Ziv frame at the encoder side are divided into entropy coding…
Hsi-Chin Hsin, Tze-Yun Sung, Yaw-Shih Shieh
High-efficiency, high-quality biomedical image compression is desirable especially for the telemedicine applications. This paper presents an adaptive coding pass scanning (ACPS) algorithm for optimal rate control. It can identify the significant portions of an image and discard insignificant ones as early as possible.…
Grzegorz Ulacha, Mirosław Łazoryszczak, Jun Chen, Sadaf Salehkalaibar
'Sadaf Salehkalaibar'] This paper presents a lossless image compression method with a fast decoding time and flexible adjustment of coder parameters affecting its implementation complexity. A comparison of several approaches for computing non-MMSE prediction coefficients with different levels of complexity was made.…
Shinichi Yamagiwa, Yuma Ichinomiya, Stefania Perri
Video applications have become one of the major services in the engineering field, which are implemented by server-client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for security. Recently, the majority of video encoding mechanisms to reduce…
Hua Ren, Guang-rong Bai, Tong-tong Chen, Zhen Yue + 1 more
With the rapid development of multimedia technology and the massive accumulation of user data, a huge amount of data is rapidly generated and shared over the network, while the problems of inappropriate data access and abuse persist. Reversible data hiding in encrypted images (RDHEI) is a privacy-preserving method that…
Jen-Lung Lo, Saeid Sanei, Kianoush Nazarpour
A novel adaptive source-channel coding with feedback for progressive transmission of medical images is proposed here. In the source coding part, the transmission starts from the region of interest (RoI). The parity length in the channel code varies with respect to both the proximity of the image subblock to the RoI and…
Muhammad Babar Imtiaz, Rabia Kamran
In video transmission, maintaining high visual quality under variable network conditions, including bandwidth and efficiency, is essential for optimal viewer experience. Channel errors or malicious attacks during transmission can cause degradation in video quality, affecting its secure transmission and putting its…
Yuansheng Wu, Fan Cai, Xiaodan Song, Xuguang Zuo + 1 more
Efficient in-loop filtering is critical for the latest video-coding standard, versatile video coding (H.266/VVC). While parameter-adaptive mechanisms are effective in traditional adaptive loop filters and overfitted small-scale neural in-loop filtering, there is difficulty when deploying them in large-scale models…
Chen-Hsiu Huang, Ja-Ling Wu, Jun Chen
End-to-end learned image compression codecs have notably emerged in recent years. These codecs have demonstrated superiority over conventional methods, showcasing remarkable flexibility and adaptability across diverse data domains while supporting new distortion losses. Despite challenges such as computational…