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.
Patent No.:
Date of Patent:
Nov. 12, 2013
Filed:
Feb. 22, 2007
Se-yoon Jeong, Daejon, KR;
Hae-chul Choi, Daejon, KR;
Jeong-il Seo, Daejon, KR;
Seung-kwon Beack, Seoul, KR;
In-seon Jang, Gyeonggi-do, KR;
Jae-gon Kim, Daejon, KR;
Kyung-ae Moon, Daejon, KR;
Dae-young Jang, Daejon, KR;
Jin-woo Hong, Daejon, KR;
Jin-woong Kim, Daejon, KR;
Chang-beom Ahn, Seoul, KR;
Seoung-jun OH, Gyeonggi-do, KR;
Dong-gyu Sim, Seoul, KR;
Ho-chong Park, Gyeonggi-do, KR;
Yung-lyul Lee, Seoul, KR;
Su-yeol Jeon, Seoul, KR;
Se-Yoon Jeong, Daejon, KR;
Hae-Chul Choi, Daejon, KR;
Jeong-Il Seo, Daejon, KR;
Seung-Kwon Beack, Seoul, KR;
In-Seon Jang, Gyeonggi-do, KR;
Jae-Gon Kim, Daejon, KR;
Kyung-Ae Moon, Daejon, KR;
Dae-Young Jang, Daejon, KR;
Jin-Woo Hong, Daejon, KR;
Jin-Woong Kim, Daejon, KR;
Chang-Beom Ahn, Seoul, KR;
Seoung-Jun Oh, Gyeonggi-do, KR;
Dong-Gyu Sim, Seoul, KR;
Ho-Chong Park, Gyeonggi-do, KR;
Yung-Lyul Lee, Seoul, KR;
Su-Yeol Jeon, Seoul, KR;
Abstract
Provided are an apparatus for multi-stage transforming a plurality of unit blocks in multi-dimension that can improve compression efficiency of video data by collecting Discrete Cosine Transforming (DCT) coefficients of neighboring blocks and performing an additional transformation based on the DCT coefficients of an original picture and a differential picture. The method includes the steps of: performing a Discrete Cosine Transform (DCT) on inputted picture data and selecting R blocks of a predetermined size from DCT picture data, where R is a natural number equal to or greater than 2; arranging DCT coefficients of each of the selected R blocks according to each frequency in one-dimension; and performing one-dimensional transformation again on the DCT coefficients arranged in one-dimension.