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• W2516675763 abstract "Planned Sensor Distortion (PSD) is a compression method that quantizes shifted signal with low bit depth. In this paper, we analyze the dynamic range loss issue in the PSD algorithm and propose two novel methods to overcome this issue: a blocked PSD, which divides the image into sub-blocks that adapt to pixel values, and an auto-reset PSD, which utilizes Markov property to recover a high dynamic range image from the modulo image. Simulation on a 3-bit depth image of indoor environment shows PSNR of 35.7dB and 35.0dB respectively after reconstruction using our algorithms. Thereafter, two different implementations for PSD are proposed, introducing shifts at either reset phase or readout phase. These circuits are then extended to be compatible with our proposed algorithms. Finally, simulation results using 0.18um GlobalFoundries process validate our designs. Spontaneous power optimization of ADC and transmission, hardware friendly feature, and the ability of high quality imaging make our compression method promising." @default.
• W2516675763 created "2016-09-16" @default.
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• W2516675763 date "2016-05-01" @default.
• W2516675763 modified "2023-09-30" @default.
• W2516675763 title "Wide dynamic range PSD algorithms and their implementation for compressive imaging" @default.
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• W2516675763 doi "https://doi.org/10.1109/iscas.2016.7539156" @default.
• W2516675763 hasPublicationYear "2016" @default.
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