Adaptive Hybrid Noise Reduction Method for CMOS Image Sensor Noise Reduction Processing

An image sensor and noise reduction technology, applied in image data processing, image enhancement, instruments, etc., can solve the problems that mean and median filtering cannot achieve the expected effect alone, unfavorable hardware implementation, and high complexity

Active Publication Date: 2017-10-03
UNITED MICROELECTRONICS CENT CO LTD
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Problems solved by technology

[0004] For the mixed noise composed of Gaussian noise and salt-and-pepper noise, neither the mean nor the median filter alone can achieve the desired effect, and in the prior art, the complexity of the method used to deal with the mixed noise is high, which is not conducive to hardware implementation

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  • Adaptive Hybrid Noise Reduction Method for CMOS Image Sensor Noise Reduction Processing
  • Adaptive Hybrid Noise Reduction Method for CMOS Image Sensor Noise Reduction Processing
  • Adaptive Hybrid Noise Reduction Method for CMOS Image Sensor Noise Reduction Processing

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[0056] An adaptive hybrid noise reduction method for CMOS image sensor noise reduction processing, including the image output by the CMOS image sensor, the image is composed of three types of R, G, and B pixel units, and its innovation lies in: the self Adaptive hybrid denoising methods include:

[0057] In the image, an array composed of a single type of pixel unit is recorded as a processing unit (see figure 2 , the array shown in the figure is the R, G, and B pixel arrays used to form the image, and the processing unit, that is, one of R, G, or B, is an array formed by the positional relationship shown in the figure; The subscripts in R, G, or B represent the row and column where they are located), wherein, the processing unit corresponding to the R-type pixel unit is denoted as processing unit 1, and the processing unit corresponding to the G-type pixel unit is denoted as Processing unit 2, the processing unit corresponding to the B-type pixel unit is recorded as process...

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Abstract

The invention discloses an adaptive hybrid noise reduction method for CMOS image sensor noise reduction processing, including the image output by the CMOS image sensor, the image is composed of three types of R, G, and B pixel units. : the self-adaptive hybrid denoising method can efficiently denoise the mixed noise in the image; the beneficial technical effect of the present invention is: a new self-adaptive hybrid denoising process for CMOS image sensor denoising processing is proposed Noise method, the complexity of the processing method is low, while taking into account the processing effect, it greatly reduces the hardware overhead.

Description

technical field [0001] The invention relates to a CMOS image sensor noise reduction technology, in particular to an adaptive hybrid noise reduction method for CMOS image sensor noise reduction processing. Background technique [0002] The current single-chip color CMOS image sensor converts the light signal into an electrical signal through the pixel unit after being photosensitive by the CFA (Color Filter Array). After a series of analog circuits and digital image processing, even in the image transmission and display In the process, interference noise will inevitably be introduced, resulting in a decrease in image quality and affecting the visual effect. Therefore, in order to truly display image information and avoid image distortion, noise reduction processing must be performed on noisy images. [0003] Under normal circumstances, the most common image noises are Gaussian noise and salt and pepper noise. For these two kinds of image noise problems, the commonly used den...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 李明李梦萄刘昌举
Owner UNITED MICROELECTRONICS CENT CO LTD
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