Adaptive Image Pyramidal Representation

Author

Cherkashyn, Valeriy ; Kountchev, Roumen ; He, Dong-Chen ; Kountcheva, Roumiana

Author_Institution

CARTEL, Univ. de Sherbrooke, Sherbrooke, QC

fYear

2008

fDate

16-19 Dec. 2008

Firstpage

441

Lastpage

446

Abstract

New adaptive method for image compression based on pyramid decomposition with neural networks with error back propagation (BPNN) is presented in this paper. The processed image is divided in blocks and then each is compressed in the space of the hidden layers of 3-layer BPNNs, which build the so-called inverse difference pyramid. The results of the new method modeling are compared with these, obtained using the image compression standards JPEG and JPEG2000.

Keywords

backpropagation; data compression; image coding; image representation; neural nets; JPEG2000; adaptive image pyramidal representation; error back propagation; image compression; inverse difference pyramid; neural networks; Artificial neural networks; Discrete cosine transforms; Discrete wavelet transforms; Fractals; Image coding; Image representation; Image restoration; Neural networks; Transform coding; Vector quantization; Image pyramidal decomposition; Image representation and compression; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on

Conference_Location

Sarajevo

Print_ISBN

978-1-4244-3554-8

Electronic_ISBN

978-1-4244-3555-5

Type

conf

DOI

10.1109/ISSPIT.2008.4775650

Filename

4775650