Title
Improved Adaptive Wavelet Thresholding for Effective Speckle Noise Reduction in Low Contrast Medical Images
Abstract
Informative images endure from poor contrast and noise during image acquisition. Significant information retrieval necessitates image contrast enhancement and removal of noise as a prerequisite before any further processing can be done. Dominant applications with low contrast images affected by speckle noise are medical ultrasound images. The objective of this work is to improve the effectiveness of the preprocessing stage in medical ultrasound images by enhancing the image while retaining its structural characteristics. For image enhancement, this work proposes to develop an automatic contrast enhancement technique using cumulative histogram equalization and gamma correction based on the image. For noise removal, this work proposes an algorithm Gamma Correction with Exponentially Adaptive Threshold (GCEAT) which suggests the use of GC for contrast enhancement along with a new wavelet-based adaptive soft thresholding technique for noise removal. The proposed GCEAT-based image de-noising is validated with other enhancement and noise removal techniques. Experimental results with low contrast synthetic and actual ultrasound images show that the suggested proposed system performs better than existing contrast enhancement techniques. Encouraging results were obtained with medical ultrasound images in terms of Peak-Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index Measure (SSIM) and Average Intensity (AI).
Year
DOI
Venue
2019
10.1142/S0218126619501767
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
Keywords
Field
DocType
Adaptive wavelet threshold,contrast enhancement,cumulative histogram equalization,gamma correction,image metrics,speckle reduction,ultrasound medical imaging
Computer vision,Wavelet thresholding,Computer science,Electronic engineering,Artificial intelligence,Speckle noise,Gamma correction,Speckle reduction
Journal
Volume
Issue
ISSN
28
10.0
0218-1266
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
P. Sreelatha100.34
M. Ezhilarasi200.68