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Proceedings ArticleDOI

Resolution and light sensitivity tradeoff with pixel size

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TLDR
In this paper, the authors describe system simulations that predict the output of imaging sensors with the same dye size but different pixel sizes and presents metrics that quantify the spatial resolution and light sensitivity for these different imaging sensors.
Abstract
When the size of a CMOS imaging sensor array is fixed, the only way to increase sampling density and spatial resolution is to reduce pixel size. But reducing pixel size reduces the light sensitivity. Hence, under these constraints, there is a tradeoff between spatial resolution and light sensitivity. Because this tradeoff involves the interaction of many different system components, we used a full system simulation to characterize performance. This paper describes system simulations that predict the output of imaging sensors with the same dye size but different pixel sizes and presents metrics that quantify the spatial resolution and light sensitivity for these different imaging sensors.

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Capturing and processing of images using monolithic camera array with heterogeneous imagers

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Optical arrangements for use with an array camera

TL;DR: In this paper, a variety of optical arrangements and methods of modifying or enhancing the optical characteristics and functionality of these optical arrangements are provided; these arrangements are specifically designed to operate with camera arrays that incorporate an imaging device that is formed of a plurality of imagers that each include a pluralityof pixels.
References
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Journal ArticleDOI

A spatial extension of CIELAB for digital color‐image reproduction

TL;DR: A spatial extension to the CIELAB color metric that is useful for measuring color reproduction errors of digital images is described, and over patterned regions of the image, the reproduction errors measured using the spatial extension ofCIELAB correspond to perceived color errors better than errors computed without theatial extension.
Proceedings ArticleDOI

A simulation tool for evaluating digital camera image quality

TL;DR: The Image Systems Evaluation Toolkit (ISET) as mentioned in this paper is an integrated suite of software routines that simulate the capture and processing of visual scenes and includes a graphical user interface (GUI) for users to control the physical characteristics of the scene and many parameters of the optics, sensor electronics and image processing pipeline.
Proceedings ArticleDOI

How small should pixel size be

TL;DR: This paper describes a methodology, using a camera simulator and image quality metrics, for determining the optimal pixel size, and it is shown that the optimalpixel size scales with technology, btu at slower rate than the technology itself.
Proceedings ArticleDOI

CMOS imager technology shrinks and image performance

TL;DR: In this paper, the authors present a performance summary of CMOS imager pixels from 5.2 /spl mu/m to 4.2/spl mm/m using 0.18 /spl m/m imager design rules.
Proceedings ArticleDOI

Roadmap for CMOS image sensors: Moore meets Planck and Sommerfeld

TL;DR: This paper investigates how the trend towards smaller pixels interacts with two fundamental properties of light: photon noise and diffraction and investigates three consequences of decreasing pixel size on image quality.