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Dependence of Image Quality on Edge Enhancement Condition

机译:图像质量对边缘增强条件的依赖性

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摘要

Edge enhancement is effective to improve image quality. The optimum condition of edge enhancement has been studied. When the edge of object is enhanced, our visual system becomes easy to recognize the shape. But if the edge is enhanced too much, it is considered that the image become to feel unnatural. We found that the optimum edge enhancement depends on the categories of image. In this paper, the quality of image is improved by adjusting the strength and extent of edge enhancement. The images are captured under no-edge-enhancement and no-data-compressing conditions by digital still camera. The strength of the edge enhancement is modified by controlling the amount of Laplacian component and the extent of the edge enhancement is modified by the number of neighboring pixels processed. The image quality of various strength and extent is estimated by subjective evaluation. It is obtained that the edge enhancement is effective in human visual system when we concentrate on the shape of image.
机译:边缘增强可有效改善图像质量。研究了边缘增强的最佳条件。当物体的边缘得到增强时,我们的视觉系统变得易于识别形状。但是如果边缘增强太多,则认为图像会变得不自然。我们发现最佳的边缘增强取决于图像的类别。本文通过调整边缘增强的强度和程度来提高图像质量。数码相机在无边缘增强和无数据压缩条件下捕获图像。通过控制拉普拉斯分量的数量可以修改边缘增强的强度,并且可以通过处理的相邻像素的数量来修改边缘增强的程度。通过主观评估来估计各种强度和程度的图像质量。当我们专注于图像的形状时,边缘增强在人类视觉系统中是有效的。

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