Work place: L D College of Engineering, Ahmedabad, India
Research Interests: Image Processing, Computer Graphics and Visualization, Computer Vision, Computer systems and computational processes
Harsh Trivedi, male, is currently pursuing his B.E. degree (Electronics and Communication) from L.D. College of Engineering, Ahmedabad (Gujarat Technological University). His major research interest area involves Image Processing, Computer Vision, Digital Signal Processing and VLSI. He has been honored by L. D. College of Engineering and Association of Consulting Civil Engineers (ACCE-India) for Outstanding Performance in the field of Electronics and communication during his study. He has also published a research paper in an international journal. Contact: Electronics and Communication Department, L. D. College of Engineering, Navrangpura, Ahmedabad-380015.
DOI: https://doi.org/10.5815/ijigsp.2016.02.08, Pub. Date: 8 Feb. 2016
In high radiometric resolution electro optical image payloads of remote sensing satellites, photon noise dominates SNR performance. Photon noise is input signal dependent and difficult to filter. This paper proposes a photon noise filtering technique for Ocean Color Monitor (OCM) images. Existing filtering techniques are meant for object detection and handles images with poor SNR. As OCM SNR is on higher side, custom sigma filter based denoising technique is developed. Proposed technique first converts photon noise to signal independent Gaussian noise. For this variance stabilization, Anscombe transform is used. Simulations are carried on various images. Proposed technique provides 20- 50% reduction in overall as well count-wise RMSE. FFT analysis shows significant reduction in noise. Proposed technique is of low complexity.[...] Read more.
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