Title :
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
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647382
