Abstract | ||
---|---|---|
In this work we present a fast procedure for content- adaptive mesh representation of vector-valued (e.g., color) images. The goal is to obtain a single mesh structure that accurately represents all the individual components of the image. The proposed method is justified by an error bound that is rigorously derived for such a representation. It employs an error-diffusion type algorithm to place the mesh nodes non-uniformly in the image domain according to the image content. Experimental results demonstrate that: (1) a compact and accurate representation for color images can be achieved at low computational cost by the proposed algorithm; and (2) joint treatment of the different image components by the proposed algorithm can result in a more accurate mesh representation than a mesh based on a single image component (such as intensity) alone. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1109/ICIP.2003.1247059 | Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference |
Keywords | Field | DocType |
image colour analysis,image representation,mesh generation,accurate adaptive mesh image representation,error bound,error-diffusion type algorithm,image component,image content,image domain,mesh structure,vector-valued color image | Computer vision,Image gradient,Feature detection (computer vision),Color histogram,Pattern recognition,Computer science,Binary image,Pyramid (image processing),Image processing,Artificial intelligence,Mesh generation,Color image | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-7750-8 |
Citations | PageRank | References |
1 | 0.38 | 14 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jovan G. Brankov | 1 | 82 | 12.09 |
Yongyi Yang | 2 | 1409 | 140.74 |
Miles N. Wernick | 3 | 595 | 61.13 |