Iterative Removing Salt and Pepper Noise based on Neighbourhood Information

Abstract

Denoising images is a classical problem in low-level computer vision. In this paper, we propose an algorithm which can remove iteratively salt and pepper noise based on neighbourhood while preserving details. First, we compute the probability of different window without free noise pixel by noise ratio, and then determine the size of window. After that the corrupted pixel is replaced by the weighted eight neighbourhood pixels. If the neighbourhood information does not satisfy the de-noising condition, the corrupted pixels will recover in the subsequent iterations.

Authors and Affiliations

Liu Chun, Sun Bishen, Tan Kun, Ma Yingrui

Keywords

Related Articles

MINN: A Missing Data Imputation Technique for Analogy-based Effort Estimation

Success and failure of a complex software project are strongly associated with the accurate estimation of development effort. There are numerous estimation models developed but the most widely used among those is Analogy...

Suitable Personality Traits for Learning Programming Subjects: A Rough-Fuzzy Model

Programming is a cognitive activity which requires logical reasoning to code for abstract presentation. This study aims to find out the personality traits of students who maintain the effective grades in learning program...

Automated Grading Systems for Programming Assignments: A Literature Review

Automated grading for programming assignments is becoming more and more important nowadays especially with the emergence of the Massive Open Online Courses. Many techniques and systems are being used nowadays for automat...

An Incremental Technique of Improving Translation

Statistical machine translation (SMT) refers to using probabilistic methods of learning translation process primarily from the parallel text. In SMT, the linguistic information such as morphology and syntax can be added...

Networking Issues for Security and Privacy in Mobile Health Apps

It is highly important to give social care on the personal information that is collected by mobile health applications. There has been a rise in the mobile applications which are applied in almost all the departments and...

Download PDF file
  • EP ID EP261569
  • DOI 10.14569/IJACSA.2018.090136
  • Views 147
  • Downloads 0

How To Cite

Liu Chun, Sun Bishen, Tan Kun, Ma Yingrui (2018). Iterative Removing Salt and Pepper Noise based on Neighbourhood Information. International Journal of Advanced Computer Science & Applications, 9(1), 261-265. https://www.europub.co.uk/articles/-A-261569