Introduction
The smartphones has a builtin compact camera modules (CCM), which is the most popular imaging acquisition device in the world. These miniaturization requirements makes high-end advanced sensor & lens technology and precise manufacturing along with the large scale production.
Quality Standards
The first addition of CPIQ (Camera Phone Image Quality) standard issued by IEEE organization. Seven kinds of areas are defined for objective quality analysis. By introducing the subjective observation conditions of the human eye to the image of the objective parameters, this standard provides a set of metrics that strongly correlate with perceived image quality.
Testing Challenges
In the testing of mobile camera, usually when evaluating the image quality, a test condition is to shoot at a relatively close macro distance, which requires a high-precision test charts. Another test condition is to test the cameras at long distance or range within the limited space of a factory environment.
Image Stabilization is a feature that is available on high-end mobile devices which can improve the sharpness and low light performance associated with the motion of the photographer camera.
Production Line Test
Production line test equipment's can integrate with our test light source and Imatest IT test software, along with the test chart for the complete solution. Our paper: “Managing supply chain image quality” outlines many of the challenges that come along with high volume manufacturing.
The following are commonly used for the Smartphone Camera Industry Test Solutions (Click here to view the Panorama view of the Lab):
Common Test Equipment's |
Testing Software and Test Charts |
LE001 Reflective Lighting Source
It is use for reflective test charts and commonly used to test the multiple factors like distortion, auto white balance, resolution and other parameters too. |
Imatest Testing Software
It is used to analyze a series of image quality parameters, and supports a variety of test charts and international test standards.
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LE007-LED Reflective Lighting Source
High quality light source,2800K-10000K range, is used for the analysis of reflective test charts. It is also often used to analyze the color reduction, automatic white balance, distortion, resolution and other parameters for imaging systems. |
Dynamic Range Test Chart
This test Chart is made of with high-precision LVT film material. It has a very good specifics and extremely low noise as well as a wide dynamic range.
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Modular Test Chart Mounting Systems
The neutral grey center panel is a necessary equipment in imaging test as a benchmark for automatic camera balance and exposure. It is divided into manual and automatic configurations. It also offers the greatest efficiency and versatility of any chart mounting system.
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ISO 15739 Noise Test Chart
This 15-patch grayscale step chart has 12 of the patches in a somewhat elliptical arrangement on the periphery and three in an inside row. It is supported by the Imatest Stepchart, Multicharts and ColorTest modules and fully supports automated region detection.
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LE005 Transmissive Lighting Source
This light source is used to test Shading and Color-Shading with a color temperature range of 2800K-6500K. It can also be used to test the color reproduction and sharpness. |
SFRplus MTF Test Chart
It is used to measure some parameters such as MTF value, lateral chromatic aberration, distortion, step response, and color accuracy.
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Smartphone Flash Test System
It is used to test the instantaneous illumination, uniformity, pulse width and other parameters of mobile phone flash.
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TC021 Color Test Chart
Color test charts are used to analyze the color accuracy, white balance, color saturation, signal to noise ratio(SNR) and other parameters.
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OIS Image Stabilization
It is used to test the effects of shake on the imaging systems of mobile and tablet devices. A significant amount of shaking and waveforms, including random shake, can be set in the interface.
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E-SFR Sharpness Test Chart
E-SFR Sharpness test charts are used to test the sharpness of image and other multiple factors.
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