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논문검색

Mixed Noise Removal Filter for Gray Scale Images Based on Local Noise Density

초록

영어

Digital image processing is used widely and in various fields, and noise occurs for various external reasons such as channel transmission error. Generally, mixed noise is the mixture of salt and pepper noise and Gaussian noise, and the existing methods have insufficient noise removal features due to the limitation of filters. So this paper proposed an algorithm to use noise density of a local mask in order to remove mixed noise effectively. The simulation results showed the proposed algorithm had greater noise removal functions and energy conservation features compared to existing methods.

목차

Abstract
 1. Introduction
 2. Proposed Algorithm
  2.1. Decision on Noise
  2.2. Salt and Pepper Noise Removal
  2.3. AWGN Noise Removal
 3. Simulation Results
 4. Conclusion
 References

저자정보

  • Se-Ik Kwon Department of Control and Instrumentation Eng., Pukyoung National University, Busan 608-737, Korea
  • Jae-Sun Choi Department of Control and Instrumentation Eng., Pukyoung National University, Busan 608-737, Korea
  • Nam-Ho Kim Department of Control and Instrumentation Eng., Pukyoung National University, Busan 608-737, Korea

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