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Research on Noise Reducation and Color Interpolation Algorithms Based on Bayer Pattern Images for Digital Camera

Author: ZhangFeng
Tutor: WangKuang；XieLei
School: Zhejiang University
Course: Information and Communication Engineering
Keywords: Digital cameras Image Noise Reduction Color interpolation Median filter Linear fit Color difference space Edge Detection
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 65
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Abstract


In recent years, with advances in image sensor technology development and digital image processing theory , the digital camera has been more widely used . In this thesis, two algorithms for digital camera image noise reduction and color interpolation . Where the former is able to obtain high-quality images , the latter is able to restore the color images collected in the original digital core algorithm . Both have a very important role in the digital camera . Common in digital cameras and pepper noise and white Gaussian noise , this paper proposes a new adaptive noise reduction algorithm . First, using a parameter estimation method based on Gaussian noise nature poor standard of Gaussian noise in the image , and then use the standard salt and pepper noise detection and median filtering contaminated pixels , filter out the salt and pepper noise ; Then, using a similar the pixel linear fitting noise reduction method based on neighborhood filtered white Gaussian noise . Fully taken into account the spatial correlation of the image in the noise reduction process , the algorithm effectively filter out the noise while fully retain the details of the image characteristics . Distribution characteristics for digital camera Bayer data , this paper presents a color interpolation algorithm based on of chromatic aberration space and edge detection . The color interpolation algorithm is proposed a new edge detection operator , using the color of the image to perform edge detection , to improve the accuracy of the edge detection , and interpolation of the three color components in the color difference space , and therefore completed at the same time will reduce the image details and can effectively inhibit the pseudo-color image .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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