A Novel Image De-blur Algorithm based on Wavelet Packet Transform Model and Framework

DOI

10.2991/emcs-17.2017.17How to use a DOI?

Keywords

Image de-blur; Wavelet packet; Transform model; Systematic design; Modelling

Abstract

In this paper, we propose the novel image de-blur algorithm based on the wavelet packet transform model and the framework. Wavelet analysis has the characteristics of the multi-resolution, multi-scale, when it is applied to basic image enhancement, wavelet coefficient on different scales in different nonlinear transformation function, the different frequency of the image detail is enhanced, the effect is better than traditional enhancement algorithm. However, due to the wavelet enhancement changes to the brightness of image is not large, the images of the uneven illumination or inadequate, the traditional wavelet enhancement effect. Therefore, we propose wavelet packet transform model for optimization. The effectiveness and feasibility are verified.

Copyright

© 2017, 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  - Xinxin Xie
AU  - Wenzhun Huang
PY  - 2017/03
DA  - 2017/03
TI  - A Novel Image De-blur Algorithm based on Wavelet Packet Transform Model and Framework
BT  - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017)
PB  - Atlantis Press
SP  - 85
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-17.2017.17
DO  - 10.2991/emcs-17.2017.17
ID  - Xie2017/03
ER  -