RA Nanni, G Abraham - US Patent 6,798,914, 2004 - Google Patents
A method for compressing images uses artificial intelligence and neural-network-based techniques to convert digital image data into symbolic data. The symbolic data is then further …
AA Zafar, CL Besenbruch - US Patent 10,489,936, 2019 - Google Patents
US10489936B1 - System and method for lossy image and video compression utilizing a metanetwork - Google Patents US10489936B1 - System and method for lossy image and …
J Lee, SH Cho, Y Kim, JW Seok, LIM Woong… - US Patent …, 2022 - Google Patents
A method and apparatus for image compression using a latent variable are provided. The multiple components of the latent variable may be sorted in order of importance. Through …
MD Minuti - US Patent App. 12/417,314, 2010 - Google Patents
A new method for data compression utilizing a neural network or other statistical technique or pattern analysis is presented. This method represents the input data as a series of vectors …
N Balram, JMF Moura - US Patent 5,689,591, 1997 - Google Patents
The present invention is directed to an apparatus and method for converting a noncausal, two dimensional signal representative of a digitized image into an equivalent data format …
IK Eom, J Kim, DS Park - US Patent 5,754,793, 1998 - Google Patents
BACKGROUND OF THE INVENTION The present invention relates to a digital image compres sion and recovery apparatus and method, and more particu larly to an apparatus …
HE Korth - US Patent 5,914,751, 1999 - Google Patents
In multimedia applications playing-back moving pictures on the computer monitor is becoming ever more important. The main problem in representing video pictures on today's …
YE JongChul, HAN YoSeob, CHA Eunju - US Patent 10,853,977, 2020 - Google Patents
A method and apparatus for reconstructing an image using an extended neural network is provided. The method includes receiving an input image and reconstructing an output image …
M Naillon, JB Theeten - US Patent 5,005,206, 1991 - Google Patents
The problem to be solved is to improve the quality of the code book so as to enable an efficient encoding of almost all the image configurations to be processed, and to ensure a …