This chapter introduces information theory into the mathematical development to establish an approach, based on fundamental principles, for the assessment of visual communication. In this assessment, we must clearly distinguish image reconstruction (Chapter 2) from restoration (Chapter 3). Whereas the reconstruction is intended to produce a continuous representation of the discrete output of the image-gathering device, the restoration is intended to produce a representation of the input to this device. The information-theoretic assessment is meaningful only for image restoration for which a close correlation evolves between information rate and image quality.
KeywordsVisual Quality Quantization Level Quantization Noise Image Restoration Information Rate
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