No-reference image sharpness Algorithm based on gradient shape

Jun Ni, Gen Luo, Tao Yu, NingChuan Li
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引用次数: 1

Abstract

Image sharpness is an important aspect of image quality. It used to measure the degree of focus at the time of image acquisition. It also play an important role for video compression. Here, one new sharpness algorithm based on gradient shape is introduced in this paper. which is used for no-reference Image .The algorithm gets region of Interest in image firstly, then search the edge which can present sharpness information in selected region . It calculates edge transition zone width, then gets gray contrast in edge region, finally a probability summation algorithm model be set by these factors. This algorithm can calculate the sharpness degree of different images. A lot of experimental results show that this sharpness algorithm is effective and keep consistency with human subjective judgment. It can be used to describe the no-reference image sharpness effectively.
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基于梯度形状的无参考图像清晰度算法
图像清晰度是图像质量的一个重要方面。它用于测量图像采集时的聚焦程度。它在视频压缩中也起着重要的作用。本文提出了一种新的基于梯度形状的图像清晰度算法。该算法首先在图像中获取感兴趣的区域,然后在选中的区域中搜索能够呈现锐度信息的边缘。首先计算边缘过渡区宽度,然后对边缘区域进行灰度对比,最后根据这些因素建立概率求和算法模型。该算法可以计算不同图像的清晰度。大量的实验结果表明,这种锐度算法是有效的,与人类的主观判断保持一致。它可以有效地描述无参考图像的清晰度。
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