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首页> 外文会议>Image Quality and System Performance IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6494; Electronic Imaging Science and Technology >Performance evaluation of digital still camera image processing pipelines
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Performance evaluation of digital still camera image processing pipelines

机译：数码相机图像处理管线的性能评估

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摘要

Although its lens and image sensor fundamentally limit a digital still camera's imaging performance, image processing can significantly improve the perceived quality of the output images. A well-designed processing pipeline achieves a good balance between the available processing power and the image yield (the fraction of images that meet a minimum quality criterion).This paper describes the use of subjective and objective measurements to establish a methodology for evaluating the image quality of processing pipelines. The test suite contains images both of analytical test targets for objective measurements, and of scenes for subjective evaluations that cover the photospace for the intended application. Objective image quality metrics correlating with perceived sharpness, noise, and color reproduction were used to evaluate the analytical images. An image quality model estimated the loss in image quality for each metric, and the individual metrics were combined to estimate the overall image quality. The model was trained with the subjective image quality data.The test images were processed through different pipelines, and the overall objective and subjective data was assessed to identify those image quality metrics that exhibit significant correlation with the perception of image quality. This methodology offers designers guidelines for effectively optimizing image quality.
机译：尽管其镜头和图像传感器从根本上限制了数码相机的成像性能，但是图像处理可以显着提高输出图像的感知质量。精心设计的处理管线可在可用处理能力和图像产量（满足最低质量标准的图像比例）之间取得良好的平衡。本文介绍了使用主观和客观测量方法来建立评估图像的方法处理管道的质量。测试套件包含用于客观测量的分析测试目标图像和用于主观评估的场景图像，这些图像涵盖了预期应用的光空间。与感知的清晰度，噪声和色彩再现相关的客观图像质量度量用于评估分析图像。图像质量模型估计每个度量的图像质量损失，然后将各个度量合并以估计总体图像质量。该模型使用主观图像质量数据进行训练，通过不同的管道处理测试图像，并评估总体客观和主观数据，以识别那些与图像质量感知具有显着相关性的图像质量指标。这种方法为设计人员提供了有效优化图像质量的指南。

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