Automatic tests for camera performance analysis

Download

index.pdf

Date

2018

Author

Hasarpa, Alican

Metadata

Show full item record

Item Usage Stats

228
views

158
downloads

The camera technology is consistently improving, with high definition, smartcameras being utilized all around the world. Because of the different quality of such cameras, the camera performance analysis plays a critical role for the end users in order to determine the real difference between the available alternatives. The image quality of a camera may be assessed visually using digitally generated test patterns in a controlled environment. The main purpose of this thesis is to automate this assessment and reduce the interaction between the user and the test software in order to prevent any operator-related errors. Although there is a various number of performance criteria about the camera performance, the most important and distinctive properties are chosen in order to evaluate both image and video quality of the test cameras. The studied tests are separated into 2 mainstreams with respect to the main focuses. In the ﬁrst set of tests, dynamic range, color accuracy and the sharpness of the cameras are assessed automatically. In the second set of tests, the video performances of the cameras are studied. In order to provide a controlled environment, a dark room has been prepared in Multimedia Research Laboratory of Middle East Technical University. In the dark room,only two LG LED 5000K–4000 lux ﬂat light sources have been used. For the video performance tests, the 1D motion platform in Laboratory of Robotics and Autonomous Systems is utilized. The test results are also compared with the results obtained by a commercially available software, Imatest. .

Subject Keywords

Digital cameras., Image processing., Imaging systems, Image processing

URI

http://etd.lib.metu.edu.tr/upload/12622215/index.pdf
https://hdl.handle.net/11511/27350

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

DESIGN STEPS TO TEMPERATURE AND PRESSURE INSENSITIVE OPTICAL SYSTEMS FOR DIGITAL AERIAL IMAGING Yilmaz, O.; Selimoglu, O.; Ucar, B.; Sengul, O. (2010-10-13) Imaging from air has evolved from film cameras to digital cameras over the last years. Here we give the design steps of an aerial objective lens for a given CCD sensor. Matching to the pixel pitch of the sensor and providing desired field of view according to CCD size are traditional steps. Besides these, to minimize the environmental effects, design should be insensitive to the temperature and pressure as much as possible. Performance of a lens, designed at room temperature and pressure will be degraded if...
An Evaluation of ghost removal algorithms for exposure fusion Kutlu, Tuğser; Akar, Gözde; Department of Electrical and Electronics Engineering (2015) In high dynamic range imaging (HDR), the goal is to capture a scene with a higher dynamic range than the camera capable of capturing with a single exposure. Similar to HDR, exposure fusion is a process that takes multiple images and combines them to create a single dynamically enhanced image by only keeping the properly exposed elements. When using multiple images, local motion of objects can influence the quality of the final image in such a way that local motion of objects causes a ghost artifact. In this...
Comparison of histograms of oriented optical flow based action recognition methods Erciş, Fırat; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2012) In the task of human action recognition in uncontrolled video, motion features are used widely in order to achieve subject and appearence invariance. We implemented 3 Histograms of Oriented Optical Flow based method which have a common motion feature extraction phase. We compute an optical flow field over each frame of the video. Then those flow vectors are histogrammed due to angle values to represent each frame with a histogram. In order to capture local motions, The bounding box of the subject is divided...
Privacy protection of tone-mapped HDR images using false colours ÇİFTÇİ, Serdar; Akyüz, Ahmet Oğuz; PİNHEİRO, Antonio M. G.; Ebrahimi, Touradj (2017-12-01) High dynamic range (HDR) imaging has been developed for improved visual representation by capturing a wide range of luminance values. Owing to its properties, HDR content might lead to a larger privacy intrusion, requiring new methods for privacy protection. Previously, false colours were proved to be effective for assuring privacy protection for low dynamic range (LDR) images. In this work, the reliability of false colours when used for privacy protection of HDR images represented by tone-mapping operators...
Design and implementation of a novel visual analysis system for image clasiffication Altintakan, Ümit Lütfü; Yazıcı, Adnan; Körpeoğlu, İbrahim; Department of Computer Engineering (2013) Possibilities offered by the technology to create, share and disseminate image and video data have resulted in a rapid increase in the available visual data. However, the data is useless unless it is effectively accessed, which necessitates the semantic analysis of visual data. In this dissertation, we present a novel visual analysis system along with its application to image classification problem. We aim to address the challenges in the area originated from the semantic gap, and to facilitate the research...

Citation Formats

A. Hasarpa, “Automatic tests for camera performance analysis,” M.S. - Master of Science, Middle East Technical University, 2018.