Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

Over the last decades, the total variation (TV) has evolved to be one of the most broadly-
used regularisation functionals for inverse problems, in particular for imaging applications …

Recent neural compression methods have been based on the popular hyperprior
framework. It relies on Scalar Quantization and offers a very strong compression …

Due to the rapid growth of web conferences, remote screen sharing, and online games,
screen content has become an important type of internet media information and over 90% of …

(63) Continuation-in-part of application No. 10/133,842,(57) ABSTRACT filed on Apr. 25,
2002, and a continuation-in-part of application No. 10/133,558, filed on Apr. 25, 2002 …

US7376265B2 - Segmentation-based hybrid compression scheme for scanned documents -
Google Patents US7376265B2 - Segmentation-based hybrid compression scheme for scanned …

This paper will describe the Mixed Raster Content (MRC) method for compressing
compound images, containing both binary test and continuous-tone images. A single …

An unsupervised classification algorithm is derived by modeling observed data as a mixture
of several mutually exclusive classes that are each described by linear combinations of …

We report on the development and implementation of a robust algorithm for extracting text in
digitized color video. The algorithm first computes maximum gradient difference to detect …

We present a compound image compression algorithm for real-time applications of
computer screen image transmission. It is called shape primitive extraction and coding …