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首页> 外文会议>Conference on Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications IV Jan 21-23, 2003 Santa Clara, California, USA >Sharpening Methods for Images Captured through Bayer Matrix
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Sharpening Methods for Images Captured through Bayer Matrix

机译：通过拜耳矩阵捕获的图像的锐化方法

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摘要

Image resolution and sharpness are essential criteria for a human observer when estimating the image quality. Typically cheap small-sized, low-resolution CMOS-camera sensors do not provide sharp enough images, at least when comparing to high-end digital cameras. Sharpening function can be used to increase the subjective sharpness seen by the observer. In this paper, few methods to apply sharpening for images captured by CMOS imaging sensors through color filter array (CFA) are compared. The sharpening easily adds also the visibility of noise, pixel-cross talk and interpolation artifacts. Necessary arrangements to avoid the amplification of these unwanted phenomenon are discussed. By applying the sharpening only to the green component the processing power requirements can be clearly reduced. By adjusting the red and blue component sharpness, according to the green component sharpening, creation of false colors are reduced highly. Direction search sharpening method can be used to reduce the amplification of the artifacts caused by the CFA interpolation (CFAI). The comparison of the presented methods is based mainly on subjective image quality. Also the processing power and memory requirements are considered.
机译：图像分辨率和清晰度是评估图像质量时观察者的基本标准。通常，廉价的小型，低分辨率CMOS相机传感器无法提供足够清晰的图像，至少在与高端数码相机相比时。锐化功能可用于增加观察者看到的主观清晰度。在本文中，比较了几种通过彩色滤光片阵列（CFA）对CMOS成像传感器捕获的图像应用锐化的方法。锐化还容易增加噪声，像素串扰和插值伪像的可见性。讨论了避免这些不想要的现象加剧的必要安排。通过仅对绿色组件应用锐化，可以明显降低处理能力要求。通过调整红色和蓝色分量的清晰度，根据绿色分量的清晰度，可以大大减少假色的产生。方向搜索锐化方法可用于减少由CFA插值（CFAI）引起的伪像的放大。所提出方法的比较主要基于主观图像质量。还考虑了处理能力和存储要求。

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