Matrix-based analysis of digital images: application to goniophotometric measurements with variable referential

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Lossy image compression is a popular, simple and effective solution to reduce the amount of data representing digital pictures. In most lossy compression methods, the reduced volume of data in bits is achieved at the expense of introducing visual artifacts ...

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In this article, the impact of the combination of the column-level gain and the correlated multiple sampling (CMS) on the noise of CMOS image sensor (CIS) readout chains is first analyzed. The theory is then validated experimentally with CIS readout chains ...

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This letter introduces a 5-transistors (5T) implementation of CMOS Image Sensors (CIS) pixels enabling the combination of deep sub-electronnoise performance with wide dynamic range (DR). The 5T pixel presents a new technique to reduce the sense node capaci ...

Matrix-based analysis of digital images: application to goniophotometric measurements with variable referential

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