Title :
Object-scalable mesh-based coding of synthetic and natural image objects
Author :
Altunbasak, Yucel
Author_Institution :
Broadband Inf. Syst. Lab., Hewlett-Packard Co., Palo Alto, CA, USA
Abstract :
This paper presents an object-based image coding scheme, where each image object is encoded individually, provided that their boundaries are specified. This allows object-based quality scalability, in addition to mixing lossy and lossless coding modes depending on the requirements of each image object. Furthermore, we propose a new object coding method using 2-D mesh-based image sampling in which the quadrilateral mesh patches are warped into square blocks, and encoded by traditional data/waveform coding methods. Experimental results on test images are provided
Keywords :
image coding; image reconstruction; image sampling; mesh generation; 2D mesh-based image sampling; data/waveform coding methods; experimental results; lossless coding; lossy coding; natural image objects; object boundaries; object-based image coding; object-scalable mesh-based coding; quadrilateral mesh patches; reconstruction quality; square blocks; synthetic image objects; test images; Algorithm design and analysis; Image coding; Image edge detection; Image reconstruction; Image sampling; Information systems; Laboratories; Milling machines; Pixel; Scalability;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.631996