earticle

논문검색

An Enhanced Cellular Automata based Scheme for Noise Filtering

초록

영어

Cellular Automata is a computational model used to describe the complex system through simple rules. It has been significantly applied to image processing operations. It appear as a natural tool for image processing because of the simplicity of mapping a digital image to a cellular automata and the ability of applying different image processing operations in real time. Noise filtering is considered to be an important operation of image processing. In this paper cellular automata based noise filter has been proposed for different levels of noise. The filter is also compared with some standard filters in terms of peak signal to noise ratio and structured symmetry index measure and it is found that the proposed model shows consistently better performance in terms of both the parameter.

목차

Abstract
 1. Introduction
  1.1. Von Neumann Neighborhood
  1.2. Moore Neighborhood
 2. Related Work
 3. Proposed Work
 4. Experiments and Results
 5. Conclusion and Future Works
 References

저자정보

  • Anand Prakash Shukla Krishna Institute of Enginering and Technoloty, Ghaziabad, India
  • Suneeta Agarwal Motilal National Institute of Technology, Allahabad, India.

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.