Title :
Coding of segmented images using shape-independent basis functions
Author :
Kaup, André ; Aach, Til
Author_Institution :
Siemens Corporate Technol., Munich, Germany
fDate :
7/1/1998 12:00:00 AM
Abstract :
An important issue in object-based image coding is the efficient description of image segments having an arbitrary shape. This paper outlines a solution to this task using basic principles of transform image coding that are generalized for the case of arbitrarily shaped image segments. The texture inside each region is successively approximated using two-dimensional (2-D) shape-independent basis functions defined on a rectangle circumscribing the given image segment. The resulting texture description exhibits a high energy compactness and is well suited for low bit rate image coding. Unlike other approaches aimed at segment-oriented image coding, the proposed concept does not couple texture description with contour coding. The computational load is kept low, especially for the decoding process
Keywords :
Hilbert spaces; approximation theory; decoding; image coding; image segmentation; image texture; transform coding; visual perception; 2D shape-independent basis functions; Hilbert spaces; arbitrarily shaped image segments; computational load; decoding; high energy compactness; human vision; image texture; linear approximation; low bit rate image coding; object-based image coding; progressive image transmission; region; segment-oriented image coding; segmented images; successive approximation; texture description; transform image coding; Bit rate; Decoding; Extrapolation; Image coding; Image segmentation; Image sequences; Scalability; Shape; Transform coding; Two dimensional displays;
Journal_Title :
Image Processing, IEEE Transactions on