earticle

논문검색

Image Restoration Based on Quadtree Data Structures

초록

영어

This paper investigates the problem of image restoration when the image is corrupted by Pepper-and-salt noise and proposes a new restoration algorithm based on quadtree data structures. The crucial parts of the algorithm are picking noise and fuzzy estimation, so that unlike some other usual denoising methods, it avoids blurring and averaging edges and non-noise pixels. This paper describes, analyzes and compares several methods and results of removing noise from image. Experimental results indicate that the new algorithm proposed by this paper is superior.

목차

Abstract
 1. Introduction
 2. Theory and Algorithm
  A. Picking Noise
  B. Quadtrees
  C. Fuzzy estimation algorithm
  D. Multi-image Processing
 3. Experimental Results
 4. Discussions
 5. Conclusions
 References

저자정보

  • Yanhua Ma Qingdao University of Science and Technology, China

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.