Выходит 12 номеров в год
ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009
Indexed in
SMART LOSSY COMPRESSION OF IMAGES BASED ON DISTORTION PREDICTION
Краткое описание
Images of different origin are used nowadays in numerous applications spreading the tendency of world digitalization. Despite increase of memory of computers and other electronic carriers of information, amount of memory needed for saving and managing digital data (images and video in the first order) increases faster making crucial the task of their efficient compression. Efficiency means not only appropriate compression ratio but also appropriate speed of compression and quality of compressed images. In this paper, we analyze how this can be reached for coders based on discrete cosine transform (DCT). The novelty of our approach consists in fast and simple analysis of DCT coefficient statistics in a limited number of 8×8 pixel blocks with further rather accurate prediction of mean square error (MSE) of introduced distortions for a given quantization step. Then, a proper quantization step can be set with ensuring the condition that MSE of introduced errors is not greater than a preset value to provide a desired quality. In this way, multiple compressions/decompressions are avoided and the desired quality is provided quickly and with appropriate accuracy. We present examples of applying the proposed approach.
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Krivenko Sergey, Zriakhov Mikhail, Kussul Nataliia, Lukin Vladimir, Prediction of Visual Quality for Lossy Compressed Images, 2019 IEEE 15th International Conference on the Experience of Designing and Application of CAD Systems (CADSM), 2019. Crossref
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Krivenko S., Lukin V., Krylova O., Visually Lossless Compression of Dental Images, 2019 IEEE 39th International Conference on Electronics and Nanotechnology (ELNANO), 2019. Crossref
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Zemliachenko A., Ieremeiev O., Lukin V., Vozel B., Peculiarities of Hyperspectral Image Lossy Compression for Sub-band Groups, 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), 2019. Crossref
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Krivenko S., Li F., Lukin V., Vozel B., Krylova O., Prediction of Visual Quality Metrics in Lossy Image Compression, 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), 2020. Crossref
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Abramova Victoriya, Krivenko Sergey, Lukin Vladimir, Krylova Olga, Analysis of Noise Properties in Dental Images, 2020 IEEE 40th International Conference on Electronics and Nanotechnology (ELNANO), 2020. Crossref
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Krivenko Sergey, Demchenko Dmytro, Dyogtev Igor, Lukin Vladimir, A Two-Step Approach to Providing a Desired Quality of Lossy Compressed Images, in Integrated Computer Technologies in Mechanical Engineering, 1113, 2020. Crossref
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Lukin Vladimir, Abramov Sergey, Uss Mikhail, Rubel Oleksii, Kussul Nataliia, Vozel Benoit, Egiazarian Karen, Automation of Processing Multichannel Remote Sensing Images Based on Performance Prediction, 2020 IEEE Ukrainian Microwave Week (UkrMW), 2020. Crossref
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Lukin Vladimir, Vasilyeva Irina, Krivenko Sergey, Li Fangfang, Abramov Sergey, Rubel Oleksii, Vozel Benoit, Chehdi Kacem, Egiazarian Karen, Lossy Compression of Multichannel Remote Sensing Images with Quality Control, Remote Sensing, 12, 22, 2020. Crossref
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Krivenko Sergey, Lukin Vladimir, Krylova Olha, Kryvenko Liudmyla, Egiazarian Karen, A Fast Method of Visually Lossless Compression of Dental Images, Applied Sciences, 11, 1, 2020. Crossref
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Makarichev Victor, Vasilyeva Irina, Lukin Vladimir, Vozel Benoit, Shelestov Andrii, Kussul Nataliia, Discrete Atomic Transform-Based Lossy Compression of Three-Channel Remote Sensing Images with Quality Control, Remote Sensing, 14, 1, 2021. Crossref
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Li Fangfang, Lukin Vladimir, Ieremeiev Oleg, Okarma Krzysztof, Quality Control for the BPG Lossy Compression of Three-Channel Remote Sensing Images, Remote Sensing, 14, 8, 2022. Crossref
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Lukin Vladimir, Krivenko Sergey, Kaluzhinov Ihor, Krylova Olha, Kryvenko Liudmyla, Lossy Compression of Remote Sensing and Dental Images Corrupted by Spatially Correlated Noise, in Integrated Computer Technologies in Mechanical Engineering - 2021, 367, 2022. Crossref