earticle

논문검색

Image Restoration Technique with Non Linear Filter

초록

영어

In this paper, we present a novel approach to process the image using different filtering methods by Image Restoration. The aim is to enhance the digital image, reconstruct it into the original form from the noisy image. This paper is an overview of effective algorithms that can be used for image restoration. For which, techniques are used on the basis of non linear filters to restore the image. The performance of Histogram Adaptive Fuzzy (HAF) filter is carefully examined and compared with other filters like, Weighted Fuzzy Mean (WFM) filter, Minimum-maximum Detector Based (MDB) filter, Adaptive Fuzzy Mean (AFMF) filter, Centre Weighted Mean (CWM) filter, and Min-max Exclusive Mean(MMEM) filter on the basis of (Peak Signal to Noise Ration) PSNR. Experimental results on images will illustrate the capabilities of all the studied approaches.

목차

Abstract
 1. Introduction
 2. Techniques and Methods
 3. Proposed Methodology and Solution
 4. Simulation Result
 5. Conclusion
 Acknowledgment
 References

저자정보

  • Charu Khare RCET, CSV Technical University, Bhilai, India
  • Kapil Kumar Nagwanshi RCET, CSV Technical University, Bhilai, India

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.