Work place: Department of Computer Science & Engineering, Punjab University, Chandigarh. India.
Research Interests: Medical Image Computing, Image Processing, Network Security, Computer Networks, Image Manipulation, Image Compression
Dr. Savita Gupta received her B.Tech. degree from TITS, Bhiwani (Haryana), in 1992, M.E. degree from TIET, Patiala, Punjab, in 1998 both in computer science and engineering. She obtained her Ph.D. degree in 2007 in the field of Medical Image Processing. She has been into the teaching profession since 1992 and has published more than 90 papers in refereed International Journals and conference proceedings. Presently, she is working as Professor in the Department of CSE, University Institute of of Engg. & Technology, Panjab University, Chandigarh. She has completed various research projects funded by various agencies like DST, AICTE and MHRD. Her research interests include Medical image processing, Wavelet based image compression and denoising, Network security, Wireless sensor networks and Cognitive Enhancement.
DOI: https://doi.org/10.5815/ijigsp.2016.09.08, Pub. Date: 8 Sep. 2016
Speckle is a multiplicative noise that degrades the quality of ultrasound images and its presence makes the visual inspection difficult. In addition, it limits the professional application of image processing techniques such as automatic lesion segmentation. So speckle reduction is an essential step before further processing of ultrasonic images. Numerous techniques have been developed to preserve the edges while reducing speckle noise, but these filters avoid smoothing near the edges to preserve fine details. The objective of this work is to suggest a new technique that enhances B-Scan breast ultrasound images by increasing the speckle reduction capability of an edge sensitive filter. In the proposed technique a local statics based filter is applied in the non homogeneous regions, to the output of an edge preserving filter and an edge map is used to retain the original edges. Experiments are conducted using synthetic test image and real time ultrasound images. The effectiveness of the proposed technique is evaluated qualitatively by experts and quantitatively in terms of various quality metrics. Results indicate that proposed method can reduce more noise and simultaneously preserve important diagnostic edge information in breast ultrasound images.[...] Read more.
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