Quality Evaluation Methods Of Smart Phone Imaging Module

As an important component of mobile phone capturing image,smart phone imaging module is not only the key to the quality control of smart phone,but also the main basis for consumers to choosing admired smart phones.Therefore,it is of great significance to study imaging quality evaluation methods of mobile phone imaging module for the development of Chinese smart phone industry.According to the demand of intelligent mobile phone manufacturers to enhance their product yield and economic benefits,we collected image data base through the digital acquisition technology,analyzed the international general test specification and relevant parameters from clarity,color,tone and geometric deformation,which consider these four aspects is the key to control image quality.Then selected the appropriate indexs and test charts to evaluate the imaging quality of mobile phone camera module,seted up the mobile phone camera module imaging evaluation environment.After normalizing imaging evaluation parameters acquisition and processing method,we can acquire better parameters result.The relationship between the evaluation parameters corresponding to different attributes of mobile phone camera module and the correlation between the related parameters and the overall imaging quality is established.At last,we formed a quality evaluation method of intelligent mobile phone imaging module with high reliability that provides a scientific and effective solution for mobile phone manufacturers to choose suitable mobile phone imaging module.In this paper,we take the demand of intelligent mobile phone camera module's imaging quality evaluation as the goal,put forward innovative methods to design intelligent mobile phone camera module image quality evaluation model based on four image quality attributes.We formed an effective method to measure and analysis evaluation index and through combining different dimensions and different aspects of the evaluation index,achieve the desired objectives of obtain stable and repeatable evaluation results.The results demonstrate that our study can provide a scientific and objective evaluation parameters and method for smart mobile phone manufacturers and consumers,can help to optimize the performance of imaging module.