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A fully automatic one-scan adaptive zooming algorithm for color images

机译:彩色图像的全自动单扫描自适应缩放算法

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We present an interpolation algorithm for adaptive color image zooming. The algorithm produces the magnified image in one scan of the input image, and is fully automatic since does not involve any a priori fixed threshold. Given any integer zooming factor n, each pixel of the input image generates an n × n block of pixels in the zoomed image. For the currently visited pixel of the input image, the pixels of its associated block are first assigned tentative values, which are then adaptively updated before building the next block. The method is suggested for RGB images, but can equally be employed in other color spaces. Peak signal to noise ratio (PSNR) and Structural SIMilarity (SSIM) are used to evaluate the performance of the algorithm.
机译:我们提出一种用于自适应彩色图像缩放的插值算法。该算法在输入图像的一次扫描中生成放大图像,并且由于不涉及任何先验固定阈值,因此该算法是全自动的。给定任何整数缩放因子n,输入图像的每个像素都会在缩放图像中生成一个n×n的像素块。对于输入图像的当前访问像素,首先为其关联块的像素分配临时值,然后在构建下一个块之前对其进行自适应更新。建议将该方法用于RGB图像,但也可以在其他颜色空间中同样使用。峰值信噪比(PSNR)和结构相似性(SSIM)用于评估算法的性能。

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