论文标题
HEVC Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Intra Chrominance图像图像
Luminance-Guided Chrominance Image Enhancement for HEVC Intra Coding
论文作者
论文摘要
在本文中，我们提出了用于HEVC内部编码的亮度引导的色彩图像增强卷积神经网络。具体而言，我们首先开发一个封闭式的递归不对称卷积块，以恢复每个降级的镀铬图像，从而产生中间输出。然后，在亮度图像的引导下，该中间输出的质量得到进一步提高，最终产生了高质量的色彩图像。当我们提出的方法在用HEVC内部编码的颜色图像压缩中采用时，分别为U和V图像的HEVC获得了28.96％和16.74％的BD速率增长，因此，这表明了其优越性。
In this paper, we propose a luminance-guided chrominance image enhancement convolutional neural network for HEVC intra coding. Specifically, we firstly develop a gated recursive asymmetric-convolution block to restore each degraded chrominance image, which generates an intermediate output. Then, guided by the luminance image, the quality of this intermediate output is further improved, which finally produces the high-quality chrominance image. When our proposed method is adopted in the compression of color images with HEVC intra coding, it achieves 28.96% and 16.74% BD-rate gains over HEVC for the U and V images, respectively, which accordingly demonstrate its superiority.
