K. Radhika

Work place: PCET, ECE Department, Nellore, AP, 524004, India.

E-mail: krkvarma15@gmail.com


Research Interests: Image Processing, Image Manipulation, Image Compression, Embedded System, Computer systems and computational processes


K. Radhika received his B.E degree in 2002, M. Tech degree in 2010. Presently She is perusing PhD in the area of satellite image processing at JNTU Kakinada. She is having 14 years of teaching experience. Her areas of interest are Satellite Communications, signal processing, image processing, embedded systems and microcontrollers. She has published more than 10 papers in national and international conferences and national and international journals. She is a life member of ISTE and IAENG.

Author Articles
RISAT-1 Image Despeckling using a Modified Undecimated BM3D Technique

By Murali Mohan Babu. Y K. Radhika

DOI: https://doi.org/10.5815/ijigsp.2016.05.04, Pub. Date: 8 May 2016

In synthetic aperture radar (SAR) imaging, the transmitted microwave pulses from space born antenna interacts with ground objects and returned energy or back scattered energy will be collected to get backscattered image. In SAR image processing, a not anticipated noise (speckle noise) is added due to the coherent imaging system, which makes the image analysis troublesome. For better SAR image processing, the noise is to be removed or minimized in the begging stages of pre-processing and texture features are to be effectively maintained. The wavelet based Block Matching 3D (BM3D) method is normally considered as the state of art technique in the area of denoising of images. This method generally depends on up and down sampling conversion. In this paper, it is proposed a denoising technique which is independent on sampling conversion, so that texture features can be maintained, in which the speckle noise is reduced to the maximum extent.

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