Two-dimensional code excited linear prediction image coding system

1990 ◽  
Author(s):  
Hung Q. Nguyen ◽  
Eric Dubois
Keyword(s):  
Image Coding ◽  
Linear Prediction ◽  
Two Dimensional ◽  
Coding System ◽  
Code Excited Linear Prediction

On a Fluency Image Coding System for Beef Marbling Evaluation

2002 ◽  
Vol 23 (11) ◽  
pp. 1277-1291 ◽  
Author(s):  
Kazuo Toraichi ◽  
Paul Wing Hing Kwan ◽  
Kazuki Katagishi ◽  
Tetsuo Sugiyama ◽  
Koichi Wada ◽  
...  
Keyword(s):  
Image Coding ◽  
Coding System ◽  
Beef Marbling

Attention mechanisms for an image coding system

1998 ◽  
Author(s):  
Eric Dinet ◽  
Frederique Robert
Keyword(s):  
Image Coding ◽  
Coding System

Mycielski Based 2d-Predictive Image Coding Algorithm

2016 ◽  
Vol 850 ◽  
pp. 144-151 ◽  
Author(s):  
Mehmet Fidan ◽  
Ömer Nezih Gerek
Keyword(s):  
Image Coding ◽  
Predictive Coding ◽  
Prediction Method ◽  
Physical Distance ◽  
Prediction Algorithm ◽  
Two Dimensional ◽  
Two Dimensional Image ◽  
Past Data ◽  
And Performance ◽  
Definition Of

The Mycielski method is a prospering prediction algorithm which is based on searching and finding largest repeated binary patterns. It uses infinite-past data to devise a rule based prediction method on a time series. In this work, a novel two-dimensional (image processing) version of the Mycielski algorithm is proposed. Since the dimensionality definition of “past” data increases in two-dimensional signals, the proposed algorithm also needs to handle how the boundaries of the pixel cliques are iteratively extended in the neighborhood of a current pixel. The clique extension invokes novel similarity search strategies that depend on the chosen physical distance metric. The proposed prediction algorithm is used for predictive image compression and performance comparisons with other predictive coding methods are presented.

Sign in / Sign up

Export Citation Format

Share Document