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  • 标题:Analog Signal Processing Approach for Coarse and Fine Depth Estimation
  • 本地全文:下载
  • 作者:Nihar Athreyas ; Zhiguo Lai ; Jai Gupta
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2014
  • 卷号:5
  • 期号:6
  • 页码:55
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Imaging and Image sensors is a field that is continuously evolving. There are new products coming into themarket every day. Some of these have very severe Size, Weight and Power constraints whereas otherdevices have to handle very high computational loads. Some require both these conditions to be metsimultaneously. Current imaging architectures and digital image processing solutions will not be able tomeet these ever increasing demands. There is a need to develop novel imaging architectures and imageprocessing solutions to address these requirements. In this work we propose analog signal processing as asolution to this problem. The analog processor is not suggested as a replacement to a digital processor butit will be used as an augmentation device which works in parallel with the digital processor, making thesystem faster and more efficient. In order to show the merits of analog processing two stereocorrespondence algorithms are implemented. We propose novel modifications to the algorithms and newimaging architectures which, significantly reduces the computation time.
  • 关键词:Analog Signal Processing; Parallel Architecture; Image Alignment & Stereo Correspondence.
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