A Study on Spatial Scalable Coding using Vector Representation

The major advantage of vector representation of an image is that the image quality is maintained for arbitrary scaling. In recent years, a demand for scalable image coding has been increasing because of the wide variety of available digital contents and display terminals. Conventional scalable coding schemes are based on raster representation, and thus, line drawings deteriorate in quality when expanded and shrunk. In this paper, we propose an edge reconstruction method using vector representation for the purpose of keeping a consistent spatial scalability on transmission and display. We take an anti-aliasing into account in edge areas for approximation of luminance values around the edge. The proposed method can improve PSNR by up to 2 dB as compared to the conventional methods when image is expanded and shrunk.

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Yuki Yamamoto, Kei Kawamura, Hiroshi Watanabe
• Keywords: Conventional Scalable Coding, ICMCS 2006, Scalable Image Coding, Vector Representation