Abstract
This article proposes a real-time test and verification system for full-reference automatic image quality assessment and verification of digital TV sets. Digital camera is used for acquisition of the TV screen content in order to ensure quality assessment of the content as perceived by the user. Test has been executed in three steps: image acquisition by camera, TV screen content extraction and full-reference image quality assessment. The TV screen content is extracted from the captured image in two steps: detection of the TV screen edge and transformation of the TV screen content to dimensions of the reference image. Three image comparison methods are incorporated to perform full-reference image quality assessment. Reference image for quality assessment is obtained either by grabbing the image from TV set or by capturing the TV screen content on the golden sample. Digital camera was later replaced with DSP-based camera for image acquisition and algorithm execution which brought significant performance improvements. The comparison methods were tested under constant and variable illumination conditions. The proposed system is used to automate the verification step on the final production line of digital TV sets. The time required for verification step decreased by a factor of 5 when using the proposed system on the final production line instead of a manual one.
Highlights
In the recent years, it has been shown that manual verification of digital TV systems is not effective for large industries [1]
Considering that our system is not pixel-sensitive, i.e., we do not need to detect faults in individual pixels, but instead functional failures which are always presented as a wrong screen content which differs from the reference image in a whole region, we propose regional-based image comparison methods which are computationally simpler but reliable-enough for our system application
5.1 Results of comparison methods The experiments of comparison methods were performed in order to verify the success of each method and to choose which method is better for detecting the content on the TV screen
Summary
It has been shown that manual verification of digital TV systems is not effective for large industries [1]. This article proposes an approach for an automated verification of digital television sets based on TV screen content acquisition by camera and comparison of the captured content with the content of the reference image. Considering that our system is not pixel-sensitive, i.e., we do not need to detect faults in individual pixels, but instead functional failures which are always presented as a wrong screen content which differs from the reference image in a whole region, we propose regional-based image comparison methods which are computationally simpler but reliable-enough for our system application. While the reference [35] focuses on industry application, compares manual and automatic verification and presents testing methodology on the final production line, this article presents in more detail the verification and quality metrics of video, as well as the DSP implementation of the proposed system with the goal of achieving real-time execution
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