Neural JPEG: End-to-end image compression leveraging a standard JPEG encoder-decoder

A Mali, A Ororbia, D Kifer, L Giles - arXiv preprint arXiv:2201.11795, 2022 - arxiv.org
Recent advances in deep learning have led to superhuman performance across a variety of
applications. Recently, these methods have been successfully employed to improve the rate …

Perceptually quasi-lossless compression of screen content data via visibility modeling and deep forecasting

M Wang, Z Xu, X Liu, J Xiong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Screen content data, such as computer-generated photographs, desktop sharing, remote
education, video game streaming and screenshot, is one of the most popular visual …

An empirical analysis of recurrent learning algorithms in neural lossy image compression systems

A Mali, A Ororbia, D Kifer, L Giles - arXiv preprint arXiv:2201.11782, 2022 - arxiv.org
Recent advances in deep learning have resulted in image compression algorithms that
outperform JPEG and JPEG 2000 on the standard Kodak benchmark. However, they are …

The sibling neural estimator: Improving iterative image decoding with gradient communication

A Mali, AG Ororbia, CL Giles - 2020 Data Compression …, 2020 - ieeexplore.ieee.org
For lossy image compression, we develop a neural-based system which learns a nonlinear
estimator for decoding from quantized representations. The system links two recurrent …

Real-Time Deep Learning Based Image Compression Techniques

AA Abdulredah, M Kherallah, F Charfi - International Conference on …, 2024 - Springer
The emergence of deep learning techniques has solved many image processing problems
using traditional methods. It has provided pioneering solutions, especially in image …

An efficient image compression using pixel filter for social media applications

R Makala, R Ponnaboyina… - International Journal of …, 2022 - inderscienceonline.com
Image data transfer has increased rigorously in the present times in social networking sites,
mobile apps and live streaming video applications. This phenomenon puts enormous effect …

Исследование эффективности шумоподавления при кодировании речевого сигнала без потерь

Т Акилан, Л Раджа, У Харихаран - Научно-технический вестник …, 2024 - ntv.elpub.ru
Аннотация Кодирование речи—один из методов представления цифрового речевого
сигнала с использованием малого числа битов, при этом возможно сохранить их …

Scientific and Technical Journal of Information Technologies, Mechanics and Optics

T AKILAN, L RAJA, U HARIHARAN - SCIENTIFIC AND TECHNICAL …, 2021 - elibrary.ru
In the meantime, speech coding is one of the methods to represent the digital speech signal
as in possible fewer bits value and to maintain the quality and its clearness. In omnipresent …

Study on Image Compression Algorithm with Deep Learning

YH Lee - Journal of the Semiconductor & Display Technology, 2022 - koreascience.kr
Image compression plays an important role in encoding and improving various forms of
images in the digital era. Recent researches have focused on the principle of deep learning …

[PDF][PDF] Image Compression Based on Deep Learning: A

HM Yasin, AM Abdulazeez - researchgate.net
Image compression is an essential technology for encoding and improving various forms of
images in the digital era. The inventors have extended the principle of deep learning to the …