A pilot study on a new image enhancement method using spatial statistics

DOI

10.2991/jimec-16.2016.7How to use a DOI?

Keywords

image enhancement, unsharp masking, spatial autocorrelation, adaptive filter.

Abstract

The unsharp masking method is a well-known approach for image enhancement but is very sensitive to noise. Low pass filters are usually employed to suppress the noise, but often lead to the blurred edge. To overcome these problems a sharping algorithm for digital images based on spatial autocorrelation is proposed. The new method can smooth images and simultaneously produce good detail structure maintenance performance. Spatial statistical calculation be used as a threshhold for adaptive filtering. A synthetic image with various pixel values and added Gaussian noise was produced. To verify this, a high-boost filter was used to take a comparison with the adaptive average filter results. This new method successfully accomplishes the dual objectives of decreasing noise and not amplifying the detailed areas. The experimental results demonstrate the effectiveness of the proposed method.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tzong-Jer Chen
AU  - Xiu-Juan Deng
AU  - Yue-Ran Lu
AU  - Wei He
AU  - Gaofeng Che
AU  - Sixian Niu
AU  - Ronghui Lu
PY  - 2016/10
DA  - 2016/10
TI  - A pilot study on a new image enhancement method using spatial statistics
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 33
EP  - 38
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.7
DO  - 10.2991/jimec-16.2016.7
ID  - Chen2016/10
ER  -