Title :
Image compression using pyramidal distance order statistic filtering
Author :
Öktem, Rugen ; Kuosmanen, Pauli ; Egiazarian, Karen
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
Pyramidal data structure has proven useful in efficient progressive image transmission coding algorithms. A novel image coding algorithm is presented. This algorithm uses distance order statistic filters to form the pyramidal structure. It is applied to real images and found to perform efficiently in terms of image quality at a low bit rate. In noisy conditions the algorithm is adapted to remove noise by using DOS filtering
Keywords :
data compression; data structures; filtering theory; image coding; image resolution; noise; decoding; filtering; image coding algorithms; image compression; image quality; low bit rate; multiresolution decomposition; noise removal; noisy conditions; progressive image transmission; pyramidal data structure; pyramidal distance order statistic filtering; pyramidal structure; real images; Data structures; Filtering; Image coding; Image communication; Image quality; Image resolution; Laboratories; Nonlinear filters; Signal processing algorithms; Statistics;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555453
