Abstract
Image quality assessments for Intel's digital imaging chip set prototype are made using objective and subjective image quality assessment criteria. Objective criteria such as signal to noise ratio, linearity, color error, dynamic range, and resolution are used to provide quantitative metrics for engineering development. Subjective criteria such as mean observer scores derived from single stimulus and paired comparison adjectival ratings provide overall product image quality assessment that are used to determine product acceptability assessments for product marketing analysis. These metrics along with the subjective assessment, serve as development tools which allow the product development team to focus on the critical areas which improve the image quality of the product.
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