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A novel approach of image compression in digital cameras with a Bayer color filter array

机译:具有拜耳彩色滤光片阵列的数码相机中图像压缩的新方法

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We propose a new approach for image compression in digital cameras, where the goal is to achieve better quality at a given rate by using the characteristics of a Bayer color filter array. Most digital cameras produce color images by using one CCD plate and each pixel in an image has only one color component, so an interpolation method is needed to produce a full color image. After finishing an image processing stage, in order to reduce the memory requirements of the camera, a lossless or lossy compression stage, using a coder such as JPEG, often follows. Before decreasing redundancy in a compression stage, redundancy is increased in an interpolation stage. We propose an algorithm for image compression, in which the order of the compression and interpolation stages is reversed to avoid increasing redundancy before compression. We introduce the image transform to compress uninterpolated images with JPEG. Our simulations show that the result of our algorithm is better than conventional methods for all compression ranges. This proposed algorithm provides not only better quality but also lower complexity because the number of luminance data of our method is only half of that of conventional methods.
机译:我们提出了一种用于数码相机中图像压缩的新方法,其目标是通过利用拜耳彩色滤光片阵列的特性以给定的速率获得更好的质量。大多数数码相机通过使用一个CCD板产生彩色图像,并且图像中的每个像素只有一个颜色分量,因此需要一种插值方法来产生全彩色图像。在完成图像处理阶段之后,为了减少照相机的存储需求,通常紧接着进行使用诸如JPEG的编码器的无损或有损压缩阶段。在压缩阶段减少冗余之前,在插值阶段增加冗余。我们提出了一种图像压缩算法,其中压缩和插值阶段的顺序是相反的,以避免在压缩之前增加冗余。我们介绍了使用JPEG压缩未插值图像的图像变换。我们的仿真表明,在所有压缩范围内,我们算法的结果均优于传统方法。该算法不仅质量更好,而且复杂度更低,因为我们方法的亮度数据数量仅为常规方法的一半。

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