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Proceedings ArticleDOI

Image Pipeline Tuning for Digital Cameras

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TLDR
This work presents basic image pipeline algorithms and tuning methods from a system point of view and shows how to tune an image pipeline for a particular camera system based on different lenses, camera modules, and sensors.
Abstract
Digital cameras are widely used in many applications, such as digital still cameras, camcorders, camera phones, and video surveillance. The image pipeline plays a key role in digital camera systems by generating a digital color image in real time from raw data captured by a camera sensor. However, tuning an image pipeline for a particular camera system is a challenging task because different lenses, camera modules, and sensors have different characteristics. Moreover, there are no standard image quality metrics and different customers have different preferences for image quality. We present basic image pipeline algorithms and tuning methods from a system point of view.

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Citations
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Journal ArticleDOI

CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms

TL;DR: A new video database is presented: CVD2014-Camera Video Database, which uses real cameras rather than introducing distortions via post-processing, which results in a complex distortion space in regard to the video acquisition process.

Introduction to Color Imaging Science

Hsien-Che Lee
TL;DR: This book is a comprehensive guide to the scientific and engineering principles of colour imaging that covers the physics of light and colour, how the eye and physical devices capture colour images, how colour is measured and calibrated, and how images are processed.
Journal ArticleDOI

Pyramid Architecture for 3840 X 2160 Quad Full High Definition 30 Frames/s Video Acquisition

TL;DR: A novel pyramid architecture to efficiently process a system that the image pipeline is between an image sensor and video coding engine is presented, which is scalable from low to high image resolution and filter size.
Journal ArticleDOI

Colorimetric sensor arrays: development and application to art conservation

TL;DR: The accepted air pollutant concentration limits for sensitive artwork are generally at or below a few ppb: this is only ∼1% of the permissible exposure limits for humans as mentioned in this paper.
References
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Journal ArticleDOI

Demosaicking: color filter array interpolation

TL;DR: The author begins by discussing the image formation process and examines the demosaicking methods in three groups: the first group consists of heuristic approaches, the second group formulates demosaicked as a restoration problem, and the third group is a generalization that uses the spectral filtering model given in Wandell.
Journal ArticleDOI

Digital color imaging

TL;DR: Fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology in order to establish the background and lay down terminology.
Journal ArticleDOI

Color image processing pipeline

TL;DR: An overview of the image processing pipeline is presented, first from a signal processing perspective and later from an implementation perspective, along with the tradeoffs involved.
Journal ArticleDOI

Digital Color Imaging

TL;DR: A survey of color imaging can be found in this article, where the fundamental concepts of color perception and measurement are first presented us-ing vector-space notation and terminology, along with common mathematical models used for representing these devices.
Book

Introduction to Color Imaging Science

Hsien-Che Lee
TL;DR: In this paper, a comprehensive guide to the scientific and engineering principles of colour imaging is presented, including the physics of light and colour, how the eye and physical devices capture colour images, how colour is measured and calibrated, and how images are processed.