首页> 外文会议>Conference on Real-Time Image Processing; 20080128-29; San Jose,CA(US) >Improving the SNR During Color Image Processing while Preserving the Appearance of Clipped Pixels
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Improving the SNR During Color Image Processing while Preserving the Appearance of Clipped Pixels

机译:在保留剪切像素的外观的同时改善彩色图像处理期间的SNR

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摘要

An image processing path typically involves color correction or white balance resulting in higher than unity color gains. A gain higher than unity increases the noise in that respective channel, and therefore degrades the SNR performance of the input signal. If the input signal does not have enough SNR to accommodate the extra gain, the resultant color image has increased color noise. This is the usual case for color processing in cell phone cameras, which have sensors with limited SNR and high color crosstalk. This phenomenon degrades images more as illuminants differ from D65. In addition, the incomplete information for clipped pixels often results in unsightly artifacts during color processing. To correct this dual problem, we investigate the use of under unity color gains, which, by increasing the exposure of the sensor, would improve the resultant SNR of the color corrected image. The proposed method preserves the appearance of clipped pixels and the overall luminance of the image, while applying the appropriate color gains.
机译:图像处理路径通常涉及颜色校正或白平衡,从而导致获得高于统一的颜色增益。高于单位的增益会增加该相应通道中的噪声,因此会降低输入信号的SNR性能。如果输入信号的SNR不足以容纳额外的增益,则所得的彩色图像会增加彩色噪声。这是手机摄像头中色彩处理的常见情况,手机摄像头中的传感器具有受限的SNR和高色串扰。由于光源与D65不同,这种现象会使图像质量下降更多。此外,裁剪后的像素的不完整信息通常会在颜色处理期间导致难看的伪像。为了纠正这个双重问题,我们研究了使用统一色增益,通过增加传感器的曝光量,可以提高色彩校正图像的最终SNR。所提出的方法在保留适当的色彩增益的同时,保留了裁剪后的像素的外观和图像的整体亮度。

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