Pravir Singh Gupta and Gwan Seong Choi from Texas A&M University publish an open access paper "Image Acquisition System Using On Sensor Compressed Sampling Technique." They say that "Compressed Sensing has the potential to increase the resolution of image sensors for a given technology and die size while significantly decreasing the power consumption and design complexity. We show that it has potential to reduce power consumption by about 23%-65%."
The proposed sensor architecture implementing this claim is given below:
"Now we demonstrate the reconstruction results of our proposed novel system flow. We use both binary and non-binary block diagonal matrix to compressively sample the image. The binary block diagonal(ΦB) and non-binary block diagonal(ΦNB) sampling matrix are mentioned below."
The proposed sensor architecture implementing this claim is given below:
"Now we demonstrate the reconstruction results of our proposed novel system flow. We use both binary and non-binary block diagonal matrix to compressively sample the image. The binary block diagonal(ΦB) and non-binary block diagonal(ΦNB) sampling matrix are mentioned below."
Compressed Sensing Said to Save Image Sensor Power
Reviewed by MCH
on
October 12, 2017
Rating:
Reviewed by MCH
on
October 12, 2017
Rating:
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