Inhomogeneous surface diffusion for image filtering

✍ Scribed by Gary E. Ford; Adel I. El-Fallah

• Publisher: John Wiley and Sons
• Year: 1997
• Tongue: English
• Weight: 230 KB
• Volume: 8
• Category: Article
• ISSN: 0899-9457
• DOI: 10.1002/(sici)1098-1098(1997)8:5<450::aid-ima6>3.0.co;2-9

✦ Synopsis

Most of the recent work on inhomogeneous diffusion in implementation of a two-dimensional algorithm are described in image filtering focuses on diffusing the isotope curve. We present a Section V. The evolution of the noise-free and noisy edge is less familiar approach to the development of inhomogeneous diffupresented experimentally in Section VI. Examples of applications sion algorithms in which the image is regarded as a surface in threeto image noise removal and transparent coding are given in Secspace. The magnitude of the surface normal controls a diffusion that tion VII.

evolves the image surface at a speed proportional to its mean curvature. A discrete algorithm to implement this proposed diffusion is

II. THEORY OF IMAGE SURFACE MEAN CURVATURE

introduced, and we show experimentally that the algorithm develops singularities that reveal, preserve, and enhance the underlying signal.