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FPGA implementation of Bilinear Interpolation Algorithm For CFA Demosaicing

机译:CFA脱染型双线性插值算法的FPGA实现

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Color Filter Array (CFA) is a mosaic of tiny color filters placed over the pixels of an image sensor to capture information. The most common filter is Bayer's filter. A Bayer filter arranges RGB color filters on a square grid of photo sensors. The color filters is used in single chip image sensors which is used in digital cameras, camcorders and scanners to create a color image. Digital still cameras (DSC) are widely used nowadays and it has a single chip CCD image sensor in order to reduce the cost. These single chip cameras use CFA to obtain different color information. Since only one component is available (Either R or G or B) at each pixel, the other two missing color components have to be estimated from the neighboring pixels. The process is called as CFA demosaicing. Demosaicing is a digital image process used to reconstruct full color image from the incomplete color samples. Various types of demosaicing algorithms are linear and bilinear interpolation, bicubic interpolation cubic spline interpolation, homogeneity directed demosaicing algorithm, higher order interpolation and higher order extrapolation etc. Bilinear interpolation algorithm for a 64*64 image is simulated in Xilinx.
机译:滤色器阵列(CFA)是一个微小的滤色器的马赛克,其放置在图像传感器的像素上以捕获信息。最常见的过滤器是拜耳过滤器。拜耳滤波器在光传感器的平方网格上安排RGB滤色器。滤色器用于单芯片图像传感器,用于数码相机,摄像机和扫描仪以创建彩色图像。数字静态摄像机(DSC)现在广泛地使用,它具有单个芯片CCD图像传感器,以降低成本。这些单片机使用CFA获取不同的颜色信息。由于仅在每个像素处仅获得一个组件(R或G或B),因此必须从相邻像素估计其他两个缺失的颜色组件。该过程称为CFA Demosaicing。 Demosaicing是一种数字图像过程,用于从不完整的颜色样本重建全彩色图像。各种类型的去索算法是线性和双线性插值,双向插值立方样条插值,均匀性切割算法,高阶插值和高阶推断等。在Xilinx中模拟了64×64图像的双线性插值算法。

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