The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 25, 1977

Filed:

Sep. 30, 1976
Applicant:
Inventors:

Jean-Claude Jolivet, St. Michel en Greve, FR;

Francois-Xavier Antoine Stouls, Perros Guirec, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F / ;
U.S. Cl.
CPC ...
364725 ; 364727 ;
Abstract

A matrix transform system for coding and decoding images. The system comprises means for sampling the lines and the columns of an image and forming with these samples a sample square matrix and storing the same. This sample square matrix is split into component square matrices of order 3N .times. 3N having a central part of order N .times. N. Each of these component matrices is multiplied by a first rectangular coefficient matrix of order N .times. 3N having a square central part in which the coefficients are equal to unity and two square lateral parts in which the coefficients are selectively equal to zero and a predetermined factor smaller than unity, which gives an intermediate matrix of order N .times. 3N. This intermediate matrix is multiplied by a second rectangular coefficient matrix of order 3N .times. N which is the transpose of the first rectangular coefficient matrix, which gives an output matrix of order N .times. N which is the transform of the central part of the component matrix. If N = 2, the output matrix is of order 2 .times. 2; one of its terms depends on four samples of the image, two of its terms depend on 12 samples of the image and the last of its terms depends on 36 samples of the image.


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