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

机译:具有拜耳滤色器阵列的数码相机图像压缩的一种新型方法

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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. But in this scheme, before decreasing redundancy in a compression stage, redundancy is increased in an interpolation stage. In this paper, 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:我们提出了一种在数码相机中的图像压缩方法,目标是通过使用拜耳滤色器阵列的特性来实现更好的质量。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仅具有一个颜色分量,因此需要一个插值方法来产生全彩色图像。在完成图像处理阶段之后,为了降低相机的存储器要求,使用诸如JPEG的编码器通常如下所示,损失或有损压缩级。但是,在这种方案中,在压缩阶段减少冗余之前,冗余是在插级增加。在本文中,我们提出了一种算法对图像压缩,其中压缩和插值阶段的顺序颠倒,以避免压缩前增加冗余。我们介绍了图像转换以使用JPEG压缩未接人的图像。我们的模拟表明,我们的算法结果优于所有压缩范围的传统方法。这种提出的算法不仅提供了更好的质量,而且提供了更低的复杂性,因为我们方法的亮度数据的数量仅为传统方法的一半。

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