Adaptive two-step procedure of providing desired visual quality of compressed image
Author:
Affiliation:
1. Key Lab of Nondestructive Testing of Ministry of Education, Nanchang Hang-Kong University, Nanchang, China
2. Dept of Information-Communication Technologies, National Aerospace University, Kharkov, Ukraine
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3443467.3443791
Reference24 articles.
1. P. Swarnalatha and P. Sevugan (Ed.). 2018. Big Data Analytics for Satellite Image Processing and Remote Sensing. (1st. ed.). New Computational Models for Image Remote Sensing and Big Data. IGI Global. DOI: https://doi.org/10.4018/978-1-5225-3643-7.ch001. P. Swarnalatha and P. Sevugan (Ed.). 2018. Big Data Analytics for Satellite Image Processing and Remote Sensing. (1st. ed.). New Computational Models for Image Remote Sensing and Big Data. IGI Global. DOI: https://doi.org/10.4018/978-1-5225-3643-7.ch001.
2. A Review of Image Compression Techniques
3. Lossless medical image compression using geometry-adaptive partitioning and least square-based prediction;Song X.;Med Biol Eng Comput. Springer,2018
4. Lossless Compression of Medical Images for Better Diagnosis
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2. Prediction of Parameters in Optimal Operation Point for BPG-based Lossy Compression of Noisy Images;Ukrainian journal of remote sensing;2022-06-27
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