DocumentCode
1946911
Title
A comparative study of on chip decorrelation schemes for low power, high resolution infrared sensors
Author
Thabuis, Tristan ; Villard, Patrick ; Belleville, Marc ; Sicard, Gilles ; Pistone, Frederic ; Maillart, Patrick ; Decaens, Gilbert
Author_Institution
CEA, LETI, Grenoble, France
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1
Lastpage
4
Abstract
This paper discusses in-sensor decorrelation schemes for infrared applications. These applications require high image quality and low power consumption. Different scenarios involving analog and digital Haar discrete wavelet transform implementations are compared to classical quantization. High level modeling of image sensor shows that a simple decorrelation scheme can reduce column level power consumption while keeping high image quality.
Keywords
image sensors; infrared detectors; analog Haar discrete wavelet transform implementation; chip decorrelation schemes; classical quantization; column level power consumption; decorrelation scheme; digital Haar discrete wavelet transform implementation; high resolution infrared sensors; image sensor; in-sensor decorrelation schemes; Circuits; Decoding; Decorrelation; Discrete cosine transforms; Discrete wavelet transforms; Energy consumption; Image coding; Image quality; Image sensors; Infrared sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems and TAISA Conference, 2009. NEWCAS-TAISA '09. Joint IEEE North-East Workshop on
Conference_Location
Toulouse
Print_ISBN
978-1-4244-4573-8
Electronic_ISBN
978-1-4244-4574-5
Type
conf
DOI
10.1109/NEWCAS.2009.5290478
Filename
5290478
Link To Document