Image super-resolution is essential for a variety of applications such as medical imaging, surveillance imaging, and satellite imaging, among others. Traditionally, the most popular color image super-resolution is performed in each color channel independently. In this paper, we show that the super-resolution quality can be further enhanced by exploiting the cross-channel correlation. Inspired by the High-Quality Linear Interpolation (HQLI) demosaicking algorithm by Malvar et al., we design an image super-resolution scheme that integrates intra-channel interpolation with cross-channel details by isotropic linear combinations. Despite its simplicity, our super-resolution method achieves the accuracy comparable with the existing fastest state-of-the-art super-resolution algorithm at 20 times faster speed. It is well applicable to applications that adopt traditional interpolations, for improved visual quality at trivial computation cost. Our comparative study verifies the effectiveness and efficiency of the proposed super-resolution algorithm.

中文翻译：

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彩色图像超分辨率和具有通道间细节的增强，成本微不足道

图像超分辨率对于医学成像、监控成像和卫星成像等各种应用至关重要。传统上，最流行的彩色图像超分辨率是在每个颜色通道中独立执行的。在本文中，我们展示了通过利用跨通道相关性可以进一步提高超分辨率质量。受 Malvar 等人的高质量线性插值 (HQLI) 去马赛克算法的启发，我们设计了一种图像超分辨率方案，通过各向同性线性组合将通道内插值与跨通道细节集成在一起。尽管它很简单，但我们的超分辨率方法以 20 倍的速度实现了与现有最​​快的最先进的超分辨率算法相当的精度。它非常适用于采用传统插值的应用程序，以微不足道的计算成本提高视觉质量。我们的比较研究验证了所提出的超分辨率算法的有效性和效率。