Title :
Region based image compression using recursive triangular partitioning with a blending model
Author :
Mayer, Joceli ; Langdon, Glen
Author_Institution :
Dept. of Electr. Eng., Univ. Fed. de Santa Catarina, Florianapolis, Brazil
Abstract :
The proposed novel lossy image compression approach represents an image as segments comprised of variable-sized right-angle triangles. Squares are converted to 4 right-angle triangles, and these triangles are recursively subdivided into smaller triangles until a PSNR quality criteria is met. A novel and economic blending model (similar to Bezier polynomials) is applied to represent the intensities at interior points of the right-angle triangles. Compression and visual quality results compare favorably against a wavelet codec using seven bands.
Keywords :
data compression; image coding; image representation; image segmentation; polynomials; Bezier polynomials; PSNR quality criteria; blending model; image representation; image segmentation; lossy image compression; recursive triangular partitioning; region based image compression; variable-sized right-angle triangles; visual quality results; Chromium; Image coding; Image representation; Image segmentation; Partitioning algorithms; Polynomials; Surface fitting; Vectors;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.751529