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传感器在图像采集过程中,受到外界因素以及自身因素的影响,图像不可避免包含噪声。为了提高传感器图像的质量,提出了一种图像传感器的自适应降噪方法。首先对当前图像传感器降噪的研究现状进行了分析,并采用曲波变换对传感器采集原始图像进行分解,然后采用变分模型法对不同尺度的子图像进行降噪处理,最后采用多幅图像对该方法的有效性进行了分析。结果表明,该方法可以降低图像中的噪声,改善图像峰值信噪比,而且降噪效果要优于其它方法。
Sensors in the image acquisition process, subject to external factors and their own factors, the image will inevitably contain noise. In order to improve the quality of the sensor image, an adaptive noise reduction method for image sensor is proposed. First of all, the current research status of image sensor noise reduction is analyzed, and the original image acquired by the sensor is decomposed by using the curvelet transform. Then the variational model method is used to denoise the sub-images with different scales. Finally, The effectiveness of this method is analyzed. The results show that this method can reduce the noise in the image and improve the peak signal-to-noise ratio of the image, and the noise reduction effect is superior to other methods.