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Technical Program
Paper Detail
| Paper: | WA-P5.7 |
| Session: | Denoising - II |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
FAST NOISE LEVEL ESTIMATION USING A CONVERGENT MULTIFRAME APPROACH |
| Authors: |
Angelo Bosco; STMicroelectronics | | | | | Arcangelo Bruna; STMicroelectronics | | | | | Stewart Smith; STMicroelectronics | | | | | Valeria Tomaselli; STMicroelectronics | | |
| Abstract: |
Image denoising is one of the most recurrent problems to face in the design of image generation pipelines. This paper proposes a novel method for the estimation of the noise level in images contaminated by Additive White Gaussian Noise (AWGN). The estimated noise level is updated on a frame basis allowing convergence to the optimal value. At the same time dynamic adjustment to changing noise levels is permitted. The proposed technique has been successfully implemented in a real system, demonstrating the validity of the proposed solution. |
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