论文标题
动画GIF优化通过自适应颜色本地表管理
Animated GIF optimization by adaptive color local table management
论文作者
论文摘要
经过三十年的GIF文件格式，如今比以往任何时候都变得越来越流行：成为即时信使和社交网络的朋友和社区的一种很好的沟通方式。虽然如此受欢迎，但编码GIF图像的原始压缩方法并没有改变。另一方面，受欢迎程度意味着存储节省成为托管平台的问题。在本文中，将提出针对动画GIF的参数优化技术。所提出的技术基于本地颜色表的选择和颜色重新映射，以创建优化的动画GIF，同时保留原始格式。该技术在降低字节的情况下取得了良好的结果，而感知颜色质量的损失有限或没有损失。对1000个GIF文件进行的测试证明了提出的优化策略的有效性。
After thirty years of the GIF file format, today is becoming more popular than ever: being a great way of communication for friends and communities on Instant Messengers and Social Networks. While being so popular, the original compression method to encode GIF images have not changed a bit. On the other hand popularity means that storage saving becomes an issue for hosting platforms. In this paper a parametric optimization technique for animated GIFs will be presented. The proposed technique is based on Local Color Table selection and color remapping in order to create optimized animated GIFs while preserving the original format. The technique achieves good results in terms of byte reduction with limited or no loss of perceived color quality. Tests carried out on 1000 GIF files demonstrate the effectiveness of the proposed optimization strategy.
