CFA image demosaicing method and device

Abstract

The invention discloses a CFA image demosaicing method and device. Because the first matrix row data and the second matrix row data are obtained through calculation in a logic parallel calculation mode, the resource occupation of row cache is reduced; compared with line-by-line calculation of an existing CFA image demosaicing algorithm, the method reduces the calculation time, and saves the storage space. The method comprises the steps: obtaining a pixel point matrix of an original CFA image; calculating a pixel point matrix through a logic parallel calculation mode to obtain first matrix rowdata; obtaining a color channel component interpolation matrix according to the first matrix row data, calculating a pixel point matrix and the color channel component interpolation matrix through a logic parallel calculation mode, and performing calculating to obtain second matrix row data; and filtering the original CFA image through the second matrix row data to obtain a demosaiced image.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a CFA image demosaicing method and device. Background technique [0002] In order to reduce costs, image acquisition uses a single sensor to acquire images, and there is a layer of color filter array (Color Filter Array, CFA) in front of the sensor, so that each pixel can only obtain one of the three primary colors of R / G / B. Therefore, when processing an image, it is necessary to interpolate the missing color components of each pixel to reconstruct a full-color image. This process is called demosaic. Because CFA data has only one color component per point, its missing components must be estimated from its neighboring pixels. [0003] The existing CFA image demosaic algorithm is: (a) according to the gradient in the horizontal and vertical directions, use a 5x5 matrix to perform G component interpolation on the R / B pixels of the original image; (b) based on the interpolati...

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Problems solved by technology

[0004] The existing CFA image demosaicing algorithm uses a large number of matrices of different sizes for interpolation, which makes the algorithm time-consuming, and the data calculated by the matrices used in (a), (b), and (c) all need to be stored , occupying the resources of the line cache (line_buffer)

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