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Image quality improvement apparatus, image display apparatus, image high-quality image quality improvement method and computer program

机译:图像质量改善设备,图像显示设备,图像高质量图像质量改善方法和计算机程序

摘要

To provide an image quality improvement apparatus, an image display apparatus, an image quality improvement method and a computer program practicing a learning type image quality improvement method using sparse representation.An image quality improving apparatus 1 calculates coefficients of a low-quality base vector (first feature quantity) expressing a feature quantity in a linear sum from a feature quantity of an image, and calculates a high image quality And calculates the linear sum of the basis vectors (second feature quantities) of the input image to generate an image with high image quality. In calculating the coefficients, the number of base vectors whose coefficients are not zero is determined, the determined number of basis vectors are selected, and the coefficients of the basis matrix other than the selected base vectors are set to zero, calculate. By adjusting the number of base vectors whose coefficients are not zero, it is possible to reduce the amount of processing required to obtain a sparse solution of the coefficient matrix and realize a practical image quality enhancing apparatus 1 .(Fig.
机译:为了提供一种图像质量改善设备,图像显示设备,图像质量改善方法和计算机程序,以实践使用稀疏表示的学习型图像质量改善方法。图像质量改善设备1计算低质量基本矢量的系数(第一特征量)从图像的特征量以线性和表示特征量,并计算出较高的图像质量,并计算输入图像的基本向量(第二特征量)的线性和以生成具有高图像质量的图像画面质量。在计算系数时,确定系数不为零的基本向量的数目,选择确定的基本向量的数目,并且将除所选择的基本向量之外的基本矩阵的系数设置为零。通过调整系数不为零的基本向量的数量,可以减少获得系数矩阵的稀疏解所需的处理量,并且可以实现实用的图像质量增强装置1。

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