Low-power-consumption real-time noise-reduction and sharpening merged preprocessing algorithm for CMOS image sensor

Abstract

The invention provides a low-power-consumption real-time noise-reduction and sharpening merged preprocessing algorithm for a CMOS image sensor. The low-power-consumption real-time noise-reduction and sharpening merged preprocessing algorithm aims to solve the problems that in the prior art, according to a CMOS image sensor image preprocessing method, a denoising algorithm and a sharpening algorithm are executed separately, the algorithm is high in complexity, and saving hardware resources and reducing the total power consumption are not facilitated. By means of the low-power-consumption real-time noise-reduction and sharpening merged preprocessing algorithm, input light signals are divided into three primary colors of red, green and blue (RGB), namely three kinds of pixels RGB through a color filter array (CFA), data cache is conducted in the mode that data are stored in a on-chip blocked and classified mode, the noise of the pixels RGB is reduced through a space self-adaptive noise reduction algorithm, an laplace operator and a smoothness operator are combined to generate a new operator model, and sharpening processing is conducted on the G pixel through the new operator model. The low-power-consumption real-time noise-reduction and sharpening merged preprocessing algorithm has the advantages that noise reduction and sharpening are merged together, complexity is lowered greatly, hardware overhead and total power consumption are reduced greatly, the hardware design difficulty is lowered, the processing speed is increased, performance is better, and the algorithm is easy to implement.

Description

field of invention [0001] The invention relates to the field of digital image processing, in particular to a low-power consumption real-time noise reduction sharpening preprocessing algorithm combined with CMOS image sensors. Background technique [0002] The current single-chip color CMOS image sensor uses a color filter array CFA for digital image processing. The color filter array CFA divides the input optical signal into three primary colors of red, green, and blue RGB, and then performs necessary on-chip image preprocessing on the three primary color information. A color image with vivid color can be obtained. In general, after the CMOS image sensor is photosensitive by the CFA array, the optical signal is converted into an electrical signal through the pixel unit, and then, through a series of analog signal processing paths (including correlated double sampling CDS, signal amplification, gain adjustment and analog-to-digital conversion etc.) processing will inevitably...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems existing in the prior art CMOS image sensor image preprocessing method that the denoising and sharpening algorithms are executed separately, the algorithm complexity is high, which is not

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