کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
563802 | 1451963 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A method of eliminating the signal-dependent random noise from the raw CMOS image sensor data based on Kalman filter
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A method of eliminating the signal-dependent random noise from the raw CMOS image sensor data based on Kalman filter A method of eliminating the signal-dependent random noise from the raw CMOS image sensor data based on Kalman filter](/preview/png/563802.png)
چکیده انگلیسی
Many conventional denoising solutions adopt the channel-dependent noise model, which is less suitable than signal-dependent noise model to describe the noise characteristic of CMOS image sensor. In this paper, the cascaded Kalman filter is designed to eliminate the signal-dependent random noise from the raw data of CMOS image sensor. The major contribution of this work is that it establishes the state equation corresponding to the circuit structure of sensor pixel, instead of designing the denoising algorithm only from a mathematical point of view. The experimental results confirm that the performance of the proposed method outperforms the conventional ones.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 104, November 2014, Pages 401–406
Journal: Signal Processing - Volume 104, November 2014, Pages 401–406
نویسندگان
Yu Zhang, Guangyi Wang, Jiangtao Xu, Zaifeng Shi, Tao Feng, Dexing Dong, Guoquan Chi,