Title: CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing Show Chinese title

Title: CD2：用于图像处理感知质量评估的对比分布组合距离

Abstract: The quality of visual input is very important for both human and machine perception. Consequently many processing techniques exist that deal with different distortions. Usually image processing is applied freely and lacks redundancy regarding safety. We propose a novel image comparison method called the Combined Distances of Contrast Distributions (CD2) to protect against errors that arise during processing. Based on the distribution of image contrasts a new reduced-reference image quality assessment (IQA) method is introduced. By combining various distance functions excellent performance on IQA benchmarks is achieved with only a small data and computation overhead. Show Chinese abstract

Abstract: 视觉输入的质量对人类和机器感知都非常重要。 因此存在许多处理技术来处理不同的失真。 通常图像处理是自由应用的，并且在安全性方面缺乏冗余。 我们提出了一种称为对比分布组合距离（CD2）的新图像比较方法，以防止处理过程中出现的错误。 基于图像对比度的分布，引入了一种新的无参考图像质量评估（IQA）方法。 通过结合各种距离函数，在IQA基准测试中实现了优异的性能，仅需少量的数据和计算开销。