Compressive Acquisition CMOS Image Sensor: From the Algorithm to Hardware Implementation

In this paper, a new design paradigm referred to as compressive acquisition CMOS image sensors is introduced. The idea consists of compressing the data within each pixel prior to storage, and hence, reducing the size of the memory required for digital pixel sensor. The proposed compression algorithm...

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Veröffentlicht in:	IEEE transactions on very large scale integration (VLSI) systems Jg. 18; H. 3; S. 490 - 500
Hauptverfasser:	Milin Zhang, Bermak, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applied sciences Blocking Circuit properties CMOS CMOS image sensors Compressing Compression algorithms Compressive acquisition differential pulse code modulation (DPCM) Digital cameras Digital circuits digital pixel sensors (DPSs) Dynamic range Electric, optical and optoelectronic circuits Electronic circuits Electronics Exact sciences and technology Fires General equipment and techniques Hardware Image coding Imaging devices Instruments, apparatus, components and techniques common to several branches of physics and astronomy Mathematical model online block-based compression algorithm Physics Pixel Pixels Recording and replay of audio and video signals Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Sensors Sensors (chemical, optical, electrical, movement, gas, etc.); remote sensing Silicon Storage and reproduction of information Studies Time domain analysis Very large scale integration Block code Measurement sensor Data storage CMOS image sensors On-line systems Field programmable gate array Algorithm Pulse code modulation Implementation online block-based compression algorithm Time domain method Algorithm performance Coding differential pulse code modulation (DPCM) digital pixel sensors (DPSs) Miniaturization Mathematical model Compressive acquisition Differential modulation Signal to noise ratio
ISSN:	1063-8210, 1557-9999
Online-Zugang:	Volltext
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