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Interference Stripe Noise Reduction of CMOS Sensor-Based Digital Holographic Measurement System
IEEE Photonics Journal ( IF 2.4 ) Pub Date : 2021-05-18 , DOI: 10.1109/jphot.2021.3081425
Haoting Liu , Jianyue Ge , Wei Song , Jinhui Lan

Comparing with the application of charge coupled device (CCD) sensor, a kind of interference stripe noise (ISN) can be observed easily from the complementary metal-oxide-semiconductor (CMOS) sensor-based digital holographic measurement (DHM) system because a series of optic coatings and filters are used in front of that sensor in order to improve its imaging effect. The improper assembly or the micro manufacturing error of these optic components may create the unexpected interference phenomena in the imaging sensor. To reduce that noise, an effective image processing method is developed. On one hand the Laplacian pyramid method is used to highlight the ISN and a cartoon-texture decomposition technique is carried out to remove the additive ISN. On the other hand, an improved Lee filtering is performed to restrain the multiplicative ISN. Extensive experiment results have shown that the image quality can be improved after the ISN reduction and this method is fit for solving a deionized water temperature estimation application where the texture complexity of target image is relatively low.

中文翻译:

基于CMOS传感器的数字全息测量系统的干扰条纹降噪

与电荷耦合器件 (CCD) 传感器的应用相比,基于互补金属氧化物半导体 (CMOS) 传感器的数字全息测量 (DHM) 系统可以很容易地观察到一种干涉条纹噪声 (ISN),因为一系列该传感器前面使用了大量光学涂层和滤光片,以提高其成像效果。这些光学元件的组装不当或微制造错误可能会在成像传感器中产生意想不到的干扰现象。为了减少这种噪声,开发了一种有效的图像处理方法。一方面,拉普拉斯金字塔方法用于突出 ISN,并执行卡通纹理分解技术以去除附加 ISN。另一方面,执行改进的 Lee 过滤以抑制乘法 ISN。
更新日期:2021-06-08
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