Polynomial Approximation Coding for Progressive Image Transmission

✍ Scribed by Chung-Yen Lu; An-Yi Chen; Kuei-Ann Wen

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 847 KB
• Volume: 8
• Category: Article
• ISSN: 1047-3203
• DOI: 10.1006/jvci.1997.0353

✦ Synopsis

forming the coefficients. The third approach is to iteratively This paper presents a progressive image transmission scheme encode the residue or difference image, either in the spatial in which polynomial approximation coding is effectively apdomain or in the transform domain [9][10][11][12][13]. At each stage, plied to encoding residual images at each stage. This polynomial an error or difference image is generated and then encoded approximation coding is derived from a regressive model based at the next stage.

on the relation between a set of data and their positions. Because

In this paper, a PIT system is proposed with an iterating the close relation is embedded in a certain polynomial function, encoding technique. Residual images of variable block size the highly efficient compression can be implemented and the are used at different stages, and they are down-sampled decimation and interpolation are also easily realized at the to a fixed size for polynomial approximation coding (PAC).

receiving side. Simulations and experimental results are dis-

The PAC is derived from a regressive model, which is a