Based On The CCD Image Interpolation Correction Method Of Research

The color CCD image sensor is now widely used in variousoptical image information acquisition devices, and its datacollection generally obtained through the Bayer filter. Bayerformat image contains only one color for each pixel value, andcannot display the actual real image. In practice we need tointerpolate Bayer image and reconstruction of im age correctionformat as the actual image. This article studies bilinearinterpolation and Weighting Factor Method and combine them todeal with the image, more details is as follows:1. The context of RGB color model and the image of Bayer andthe theory of image enhancement are introduced in the paper,including Image smoothing processing, Image intensificationprocessing etc, which establishes the foundation for the basistheory of Image Correction.2. The fundamentals of bilinear interpolation and WeightingFactor Method is analyzed in the paper analyzes and mathematicalmodel is established. It establishes the foundation for therealization of combine them to deal with correcting image as well as programming image.3. Correct image with the main colors of red and green andblue in three ways respectively and get three color schemes ofcorrected image preview. Then figure out PSNR, arrives at theconclusion that using the combination of two methods of imagecorrection effect is not only with a small amount of calculationbut also overcome zipper effect and improve Signal to Noise Ratio.