[HTML][HTML] A survey on data compression techniques: From the perspective of data quality, coding schemes, data type and applications

U Jayasankar, V Thirumal, D Ponnurangam - Journal of King Saud …, 2021 - Elsevier
Explosive growth of data in digital world leads to the requirement of efficient technique to
store and transmit data. Due to limited resources, data compression (DC) techniques are …

The CCSDS 123.0-B-2 “Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image Compression” Standard: A comprehensive review

M Hernández-Cabronero, AB Kiely… - … and Remote Sensing …, 2021 - ieeexplore.ieee.org
The Consultative Committee for Space Data Systems (CCSDS) published the CCSDS 123.0-
B-2,“Low-Complexity Lossless and Near-Lossless Multispectral and Hyperspectral Image …

[HTML][HTML] The impact of state-of-the-art techniques for lossless still image compression

MA Rahman, M Hamada, J Shin - Electronics, 2021 - mdpi.com
A great deal of information is produced daily, due to advances in telecommunication, and
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …

[HTML][HTML] Discrete atomic transform-based lossy compression of three-channel remote sensing images with quality control

V Makarichev, I Vasilyeva, V Lukin, B Vozel… - Remote Sensing, 2021 - mdpi.com
Lossy compression of remote sensing data has found numerous applications. Several
requirements are usually imposed on methods and algorithms to be used. A large …

[HTML][HTML] Quality control for the BPG lossy compression of three-channel remote sensing images

F Li, V Lukin, O Ieremeiev, K Okarma - Remote Sensing, 2022 - mdpi.com
This paper deals with providing the desired quality in the Better Portable Graphics (BPG)-
based lossy compression of color and three-channel remote sensing (RS) images. Quality is …

[HTML][HTML] Full-reference quality metric based on neural network to assess the visual quality of remote sensing images

O Ieremeiev, V Lukin, K Okarma, K Egiazarian - Remote Sensing, 2020 - mdpi.com
Remote sensing images are subject to different types of degradations. The visual quality of
such images is important because their visual inspection and analysis are still widely used …

[HTML][HTML] Bpg-based automatic lossy compression of noisy images with the prediction of an optimal operation existence and its parameters

B Kovalenko, V Lukin, S Kryvenko, V Naumenko… - Applied Sciences, 2022 - mdpi.com
With a resolution improvement, the size of modern remote sensing images increases. This
makes it desirable to compress them, mostly by using lossy compression techniques. Often …

[HTML][HTML] A fast method of visually lossless compression of dental images

S Krivenko, V Lukin, O Krylova, L Kryvenko… - Applied Sciences, 2020 - mdpi.com
A noniterative approach to the problem of visually lossless compression of dental images is
proposed for an image coder based on the discrete cosine transform (DCT) and partition …

[HTML][HTML] BPG-Based lossy compression of three-channel noisy images with prediction of optimal operation existence and its parameters

B Kovalenko, V Lukin, B Vozel - Remote Sensing, 2023 - mdpi.com
Nowadays, there is a clear trend toward increasing the number of remote-sensing images
acquired and their average size. This leads to the need to compress the images for storage …

[HTML][HTML] A fast and accurate prediction of distortions in DCT-based lossy image compression

V Abramova, V Lukin, S Abramov, S Kryvenko, P Lech… - Electronics, 2023 - mdpi.com
Since the number of acquired images and their size have the tendency to increase, their
lossy compression is widely applied for their storage, transfer, and dissemination …