ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement
Authors
Smitha.N , Ujwala.B.S , Chethan L.S
Keywords
Histogram equalization, Contrast limited adaptive histogram equalisation (CLAHE), Discrete wavelet transform (DWT),Local entropy increment(LEI).
Abstract
Image enhancement has found to be one of the most important vision applications because it has ability to enhance the visibility of images. Contrast limited adaptive histogram equalisation (CLAHE) is a good contrast enhance algorithm, but it faces over stretching and noise problems. To solve these problems, a new contrast enhancement method is implemented which is named as Contrast limited adaptive histogram equalisation (CLAHE)-discrete wavelet transform (DWT),these technique combines two methodologies DWT and CLAHE . These new method implemented in three main step: First, using DWT decomposes original image into low frequency and high frequency components. Then apply CLAHE to low-frequency coefficients and to control noise enhancement , high frequency coefficients are kept unchanged. This is due to high frequency components which have all information about the image and also contains noises of original image. Finally ,using inverse DWT reconstructed the image by taking new coefficients. To eliminate over enhancement,weighting average of reconstructed image and original image is calculated using weighting factor matrix. The weighting operation is done to control the enhancement level of region along with different luminances in original image. This is most important because bright parts of image are usually unnecessary to be enhanced in comparison with the dark parts. Hence these implementation shows that this method performs well to suppress noise and to control over enhancement. Finally the enhanced image obtained using CLAHE-DWT for checking the quality of enhanced image, Peak Signal to Noise Ratio (PSNR) ,MAE,LEI,NE is calculated and these simulations are done using MATLAB-2015.
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IJRTI — journal style
"Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.2, Issue 8, page no.142 - 146, August-2017, Available :https://ijrti.org/papers/IJRTI1708025.pdf
APA — 7th edition
Smitha.N, Ujwala.B.S, & L.S, C. (2017). Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement. International Journal for Research Trends and Innovation, 2(8), 142 - 146. https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025
MLA — 9th edition
Smitha.N, et al. "Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement." International Journal for Research Trends and Innovation, vol. 2, no. 8, 2017, pp. 142 - 146, https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025.
Chicago — 17th, bibliography
Smitha.N, Ujwala.B.S, and Chethan L.S. "Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement." International Journal for Research Trends and Innovation 2, no. 8 (2017): 142 - 146. https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025.
Harvard — author–date
Smitha.N, Ujwala.B.S and L.S, C. (2017) 'Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement', International Journal for Research Trends and Innovation, 2(8), pp. 142 - 146. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025
IEEE — numbered reference
Smitha.N, Ujwala.B.S and C. L.S, "Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement," IJRTI, vol. 2, no. 8, pp. 142 - 146, Aug. 2017.
Vancouver — biomedical
Smitha.N, Ujwala.B.S, L.S C. Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement. IJRTI. 2017 Aug;2(8):142 - 146.
AMA — 11th edition
Smitha.N, Ujwala.B.S, L.S C. Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement. IJRTI. 2017;2(8):142 - 146. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1708025,
author = {Smitha.N and Ujwala.B.S and Chethan L.S},
title = {Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement},
journal = {International Journal for Research Trends and Innovation},
volume = {2},
number = {8},
pages = {142 - 146},
year = {2017},
month = {August},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Smitha.N
AU - Ujwala.B.S
AU - L.S, Chethan
TI - Contrast limited Adaptive Histogram Equalization and Discrete Wavelet Transform Method Used for Image Enhancement
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 2
IS - 8
PY - 2017
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025
SP - 142
EP - 146
ER -
Issue
Volume 2 Issue 8,
August-2017
Pages : 142 - 146
Other Publication Details
Paper Reg. ID
IJRTI_170505
Published Paper ID
IJRTI1708025
Downloads
205,622
Research Area
Engineering
Country
Shimoga, Karnataka, India
Published
August 2017
Published Paper PDF
https://ijrti.org/papers/IJRTI1708025.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1708025
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
