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To blindly evaluate the visual quality of image is of great importance in many image processing and computer vision applications. In this paper, we develop a novel training-free no-reference (NR) quality metric (QM) based on a unified brain theory, namely, free energy principle. The free energy principle tells that there always exists a difference between an input true visual signal and its processed...
In the paper, we present a method for evaluating the quality of tongue images in Traditional Chinese Medicine (TCM). First, we preprocess the original images to segment the tongue images. Second, geometric features, texture features and spectral entropy features and spatial entropy features based on Spatial-Spectral Entropy-based Quality (SSEQ) index of tongue images are extracted respectively to...
System of traditional Chinese medicine has always been emphasized by people, have heavy depending on the individual difference factors in disease, the role of development, this kind of subtle change, tongue can fast and accurate present right now. Using tongue diagnosis to identification of traditional Chinese medicine (TCM) physique, which in clinical can be applied to the health, health physical...
Look-up Table (LUT) is one of the popular methods for color reproduction because of its high precision. With the aim to improve the performance of color reproduction, the self-adaptive local nonlinear regression method is proposed in the paper. On the base of self-adaptive local linear regression, the new method has introduced Maximum Entropy Estimation and nonlinear regression to establish a high-precision...
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