Texture Synthesis for Digital Restoration in the Bit-Plane Representation

Edoardo Ardizzone, Giuseppe Mazzola, Haris Dindo, Mazzola, Haris Dindo, Edoardo Ardizzone

Research output: Contribution to conferenceOtherpeer-review

1 Citation (Scopus)

Abstract

In this paper we propose a new approach to handle the problem of restoration of grayscale textured images. The purpose is to recovery missing data of a damaged area. The key point is to decompose an image in its bit-planes, and to process bits rather than pixels. We propose two texture synthesis methods for restoration. The first one is a random generation process, based on the conditional probability of bits in the bit-planes. It is designed for images with stochastic textures. The second one is a best-matching method, running on each bit-plane, that is well suited to synthesize periodic patterns. Results are compared with a state-of-the-art restoration algorithm.
Original languageEnglish
Pages612-618
Number of pages7
Publication statusPublished - 2007

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Signal Processing

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