Results 31 to 40 of about 7,136,792 (296)

Soft Compression for Lossless Image Coding Based on Shape Recognition

open access: yesEntropy, 2021
Soft compression is a lossless image compression method that is committed to eliminating coding redundancy and spatial redundancy simultaneously. To do so, it adopts shapes to encode an image.
Gangtao Xin, Pingyi Fan
doaj   +1 more source

Conditional Probability Models for Deep Image Compression [PDF]

open access: yes2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Deep Neural Networks trained as image auto-encoders have recently emerged as a promising direction for advancing the state-of-the-art in image compression.
Fabian Mentzer   +4 more
semanticscholar   +1 more source

A novel image compression technology based on vector quantisation and linear regression prediction

open access: yesConnection Science, 2021
In the information age, a digital image is an important media for people’s daily interactions. Looking to maintain the quality of the restored image, how to maximise the compression of images has become a challenging topic.
Shuying Xu, Chin-Chen Chang, Yanjun Liu
doaj   +1 more source

An Improved Image Compression Technique Using EZW and SPHIT Algorithms

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2019
 Uncompressed form of the digital images are needed a very large storage capacity amount, as a consequence requires large communication bandwidth for data transmission over the network.
Aqeel K. Kadhim   +2 more
doaj   +1 more source

Optimized Block-Based Lossy Image Compression Technique for Wireless Sensor Networks

open access: yesIEEE Access, 2023
Traditionally, image compression algorithms have primarily focused on optimizing storage without considering resource-constrained applications, such as wireless sensor networks (WSNs).
Bose A. Lungisani   +3 more
doaj   +1 more source

Generative Adversarial Networks for Extreme Learned Image Compression [PDF]

open access: yesIEEE International Conference on Computer Vision, 2018
We present a learned image compression system based on GANs, operating at extremely low bitrates. Our proposed framework combines an encoder, decoder/generator and a multi-scale discriminator, which we train jointly for a generative learned compression ...
E. Agustsson   +4 more
semanticscholar   +1 more source

JPEG2000 - image compression fundamentals, standards and practice

open access: yesThe Kluwer International Series in Engineering and Computer Science, 2013
This is nothing less than a totally essential reference for engineers and researchers in any field of work that involves the use of compressed imagery.
D. Taubman, M. Marcellin
semanticscholar   +1 more source

IMPROVED WAVELET COMPRESSION ALGORITHM FOR COLOR IMAGE

open access: yesICTACT Journal on Image and Video Processing, 2017
An image compression technique has been done in research in the recent years due to its clarity and quality compared to other techniques. Image compression based on wavelet is very important-role and occupies many applications.
S Anantha Babu   +2 more
doaj   +1 more source

End-to-End optimized image compression for machines, a study [PDF]

open access: yesData Compression Conference, 2020
An increasing share of image and video content is analyzed by machines rather than viewed by humans, and therefore it becomes relevant to optimize codecs for such applications where the analysis is performed remotely.
Lahiru D. Chamain   +4 more
semanticscholar   +1 more source

Lossy Image Compression Using PCA and Contourlet Transform

open access: yesMATEC Web of Conferences, 2016
With the rapid development of Internet, image information is growing. It requires a lot of image storage and transmission. In order to reduce the storage and get better image quality, image compression algorithm is studied. The paper proposes a new image
Chen Yaxiong   +4 more
doaj   +1 more source

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