Progressive image coding with spatially variable resolution

Author

Frajka, Tamás ; Sherwood, P. Greg ; Zeger, Kenneth

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA

Volume

1

fYear

1997

fDate

26-29 Oct 1997

Firstpage

53

Abstract

We present a wavelet-based progressive image coding system that allows the specification of regions of interest to alter the spatial allocation of future transmitted bits. When used in an interactive mode with feedback, the viewer, after seeing a low resolution version of the image, can instruct the encoder to concentrate more effort on coding regions of interest. When operating in an independent mode, the encoder can select regions of interest based on automatic feature recognition algorithms or offline human selection. The algorithm is flexible enough to adapt to changes of interest during encoding

Keywords

feature extraction; image coding; image recognition; image resolution; image segmentation; transform coding; wavelet transforms; automatic feature recognition algorithms; feedback; independent mode; interactive mode; low resolution image; offline human selection; region masking; regions of interest specification; spatial allocation; spatially variable resolution; transmitted bits; wavelet-based progressive image coding; Decoding; Feedback; Humans; Image coding; Image reconstruction; Image resolution; Pixel; Signal resolution; Spatial resolution; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.647382

Filename

647382