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

fYear

1996

Firstpage

33

Lastpage

36

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Conference_Location

Loen

Print_ISBN

0-7803-3629-1

Type

conf

DOI

10.1109/DSPWS.1996.555453

Filename

555453