대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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- Pages.414-417
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- 2007
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- 1226-9743(pISSN)
Passive Millimeter-Wave Image Deblurring Using Adaptively Accelerated Maximum Entropy Method
- Singh, Manoj Kumar (Sensor System Laboratory, Department of Mechatronics, Gwangju Institute of Science and Technology (GIST)) ;
- Kim, Sung-Hyun (Sensor System Laboratory, Department of Mechatronics, Gwangju Institute of Science and Technology (GIST)) ;
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Kim, Yong-Hoon
(Sensor System Laboratory, Department of Mechatronics, Gwangju Institute of Science and Technology (GIST)) ;
- Tiwary, U.S. (Indian Institute of Information Technology (IIITA))
- 발행 : 2007.10.31
초록
In this paper we present an adaptive method for accelerating conventional Maximum Entropy Method (MEM) for restoration of Passive Millimeter-Wave (PMMW) image from its blurred and noisy version. MEM is nonlinear and its convergence is very slow. We present a new method to accelerate the MEM by using an exponent on the correction ratio. In this method the exponent is computed adaptively in each iteration, using first-order derivatives of deblurred image in previous two iterations. Using this exponent the accelerated MEM emphasizes speed at the beginning stages and stability at later stages. In accelerated MEM the non-negativity is automatically ensured and also conservation of flux without additional computation. Simulation study shows that the accelerated MEM gives better results in terms of RMSE, SNR, moreover, it takes only about 46% lesser iterations than conventional MEM. This is also confirmed by applying this algorithm on actual PMMW image captured by 94 GHz mechanically scanned radiometer.