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Research On The Interpolation Algorithm Of BAYER Image Color Reconstruction

Posted on:2020-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:M L KaFull Text:PDF
GTID:2432330575951438Subject:Information and Communication Engineering
Abstract/Summary:
The single sensor digital camera the image sensor at each pixel sense only one color on each pixel location,and the other two colors is missing.For complete colorful RGB image,we need three colors on every pixel position.To produces a complete colorful image,digital camera estimates the missing values at each position,this whole process known as color filter array(CFA)interpolation.Demosaicking is the process in digital image processing in which we reconstruct full color image from color channels(RAW DATA)output from an image sensor overlaid with color filter array,which known as CFA.The reconstructed image has color artifacts near along edge region,such has blurring,zippering and false color effect.Four different types of BAYER Pattern,first is RGGB,second is GRBG,third is BGGR,and fourth is GBRG.In our 5×5 GBRG Pattern method,we follow these steps to process the demosaicked raw images to full color RGB image.In the first step,separation of color channel to BAYER mosaic.Second step,each color of linear stretching has be performed.While,in the third step subtract the IR from R,G,and B channel,and adjust the white balancing and gamma correction.In the last step,shrink the RGB image size to reduce demosaic artifacts.Then we can obtain the RGB colorful images.The experimental results show that the proposed approach for color demosaicking method has significantly fast and outperformed artifacts results than other compared different methods both in MSE(mean square error)and CPSNR(color peak signal noise ratio)measure in visual and visual observation.
Keywords/Search Tags:BAYER image, color reconstruction, demosaicking, color filter array(CFA)
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