A Research on the Colorimetric Characterization of Digital Camera

2008 ◽  
Vol 381-382 ◽  
pp. 317-320
Author(s):  
G.X. Jia ◽  
Xing Hua Qu ◽  
H. Gong ◽  
S.H. Ye
Keyword(s):  
Polynomial Regression ◽  
Digital Camera ◽  
Nonlinear Relationship ◽  
Digital Cameras ◽  
Original Image ◽  
Modeling Accuracy ◽  
Colorimetric Characterization

This paper describes a method to characterizing the digital camera. The nonlinear relationship between the RGB signals generated by a digital camera and original image CIEXYZ values was obtained using the polynomial regression procedures. The reasonable structures of the polynomial were found for two digital cameras. The better number of polynomial terms was 19, yielding a modeling accuracy typically averaging 2.1~2.2 E ∆ units and maximally 9.5~10.9 E ∆ units. The experiments results showed that the polynomial regression could be used to characterize commonly digital camera.

Colorimetric Characterization of a Digital Camera under General Office Lighting Environments

2013 ◽  
Vol 33 (9) ◽  
pp. 0933001
Author(s):  
宓超波 Mi Chaobo ◽  
黄小乔 Huang Xiaoqiao ◽  
石俊生 Shi Junsheng
Keyword(s):  
Digital Camera ◽  
Colorimetric Characterization ◽  
Office Lighting

scholarly journals USB 2.0 Digital Camera Characterization for Optimizing the Making of High Power RGB-LED Fluorescence Imaging System

2020 ◽  
Vol 3 ◽  
pp. 255-257
Author(s):  
Atika Apriani ◽  
Rochan Rifai ◽  
Frida Agung Rakhmadi ◽  
Khamidinal
Keyword(s):  
Data Collection ◽  
Imaging System ◽  
Focal Length ◽  
Digital Camera ◽  
Digital Cameras ◽  
Radial Distortion ◽  
Fluorescence Imaging System ◽  
Three Stages ◽  
Usb Camera

This research aims to obtain the focal length and radial and tangential distortion of a USB 2.0 digital camera. This research was conducted in three stages namely preparation of tools and materials, camera characterization, and data processing. The tools used in this study include a USB 2.0 digital camera and MATLAB R2013a software, while the object is a collimator board. Characterization of digital cameras is done through data collection with a distance variation of 3 cm until 15 cm, then the data obtained is processed using MATLAB R2013a software to obtain the focal length and radial distortion and tangential distortion values. The USB camera that used has the characteristic focal length and radial distortion and certain tangential distortion for each distance.

scholarly journals CORRECT USE OF COLOR FOR CULTURAL HERITAGE DOCUMENTATION

2019 ◽  
Vol IV-2/W6 ◽  
pp. 107-113 ◽  
Author(s):  
A. Molada-Tebar ◽  
Á. Marqués-Mateu ◽  
J. L. Lerma
Keyword(s):  
Cultural Heritage ◽  
Digital Camera ◽  
World Heritage Site ◽  
Digital Cameras ◽  
Unesco World Heritage ◽  
Heritage Site ◽  
Unesco World Heritage Site ◽  
The Relationship ◽  
Rgb Values

<p><strong>Abstract.</strong> Accurate color recording is a fundamental feature for proper cultural heritage documentation, cataloging and preservation. However, the methodology used in most cases limits the results since it is based either on perceptual procedures or on the application of digital enhancement techniques only. The objective of this study is to apply a rigorous procedure for the characterization of cameras based on a second-order polynomial model. Trichromatic digital cameras capture color information in the well-known RGB format. Nevertheless, the signal generated by the digital camera is device dependent. By means of the characterization, we establish the relationship between device-dependent RGB values and the tristimulus coordinates defined by the CIE standard colorimetric observer. Once the camera is characterized, users obtain output images in the sRGB space that is independent of the sensor of the camera. We applied the methodology on a set of pictures targeting Levantine rock art motifs in Cova Civil (Castellón, Spain) which is considered part of a UNESCO World Heritage Site. We used raw image files, with different exposure conditions, with raw RGB values captured by the sensor. The outcomes obtained are satisfactory and very promising for proper color documentation in cultural heritage documentation.</p>

scholarly journals Optical Inspection Systems for Axisymmetric Parts with Spatial 2D Resolution

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1218
Author(s):  
Aleksandr Kulchitskiy
Keyword(s):  
Control System ◽  
Optical System ◽  
Measurement Accuracy ◽  
Experimental Studies ◽  
Digital Camera ◽  
Digital Cameras ◽  
Bodies Of Revolution ◽  
Optical Inspection ◽  
Inspection Systems ◽  
Projection Error

The article proposes a solution to the problem of increasing the accuracy of determining the main shaping dimensions of axisymmetric parts through a control system that implements the optical method of spatial resolution. The influence of the projection error of a passive optical system for controlling the geometric parameters of bodies of revolution from the image of its sections, obtained by a digital camera with non-telecentric optics, on the measurement accuracy is shown. Analytical dependencies are derived that describe the features of the transmission of measuring information of a system with non-telecentric optics in order to estimate the projection error. On the basis of the obtained dependences, a method for compensating the projection error of the systems for controlling the geometry of the main shaping surfaces of bodies of revolution has been developed, which makes it possible to increase the accuracy of determining dimensions when using digital cameras with a resolution of 5 megapixels or more, equipped with short-focus lenses. The possibility of implementing the proposed technique is confirmed by the results of experimental studies.

Sign in / Sign up

Export Citation Format

Share Document