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A (256*256) pixel 76.7mW CMOS imager/ compressor based on real-time in-pixel compressive sensing:

Abstract: A CMOS imager is presented which has the ability to perform localized compressive sensing on-chip. In-pixel convolutions of the sensed image with measurement matrices are computed in real time, and a proposed programmable two-dimensional scrambling technique guarantees the randomness of the coefficients used in successive observation.

Invariant Spectral Hashing of Image Saliency Graph

Optical tomography based on phase-shifting schlieren deflectometry

Abstract: We present a new optical tomography technique based on phase-shifting schlieren deflectometry. The principle is that of computerized tomography. The three-dimensional profile is reconstructed from the deflection angles of rays passing through the tested object.

Random Profiles of Laser Marks

Abstract: In this paper, we propose a secure anti-counterfeiting solution based on the ex- traction of a unique identifier out of the random profile of laser marks that are engraved on the surface or in the bulk of physical objects.

Randomly Driven Fuzzy Key Extraction of Unclonable Images

Abstract: In this paper, we develop an adjustable Fuzzy Extractor using the Physical Unclonable Functions (PUF) obtained by a common laser engraving method to sign physical objects. In particular, a string (or helper data) is generated by XORing a binary reduction of the PUF observation with the encoding of a randomly generated key, or identifier.

CMOS Compressed Imaging by Random Convolution