Shallow depth of field image dataset for image sharpness and fitting results of BPBD and other algorithms

We provide two folders: (1)The shallow depth of field image data set folder consists of 27 folders from 1 to 27. In folder 1-27, each folder contains two test images and two word files. Img1 is the shallow depth of field image with the best focusing state taken with a 300 mm long focal lens, and img2 is the overall blurred image. The example to the weakness of the state-of-the-art methods word file shows the evaluation results and failure of various algorithms, and the subjective scoring results word file shows the results of the subjective evaluation of 30 volunteers.(The subjective test process, in which evaluation attribute is set to sharpness, strictly adheres to the Performance Methods in Stimulus-comparison Methods (SC) in ITU-R BT.500-14, and the observer’s task is to judge which one is the sharper from two pictures in each group. The sharper picture is marked as 1 and the less one is marked as 0.)(2)The fitting results of various algorithms(include our proposed metric BPBD) folder contains six folders showing the fitting results on TID2008, TID2013, LIVE, CID2013, FocusPath and CSIQ.

本次提供两个文件夹：
(1) 浅景深图像数据集文件夹：包含编号1至27的共27个子文件夹。编号1至27的每个子文件夹内均包含2张测试图像与2份Word文档。其中Img1为采用300mm长焦镜头拍摄的最佳对焦状态浅景深图像，Img2为全局模糊图像。名为“前沿算法缺陷示例”的Word文档记录了各类算法的评估结果与失效案例，另一款名为“主观评分结果”的Word文档则展示了30名志愿者的主观评价结果。（本次主观测试以清晰度为评价属性，严格遵循ITU-R BT.500-14标准中刺激比较法（Stimulus-comparison Methods，SC）的性能测试流程。测试过程中，观察者的任务为从每组两张图像中判别清晰度更优的图像，将清晰度更高的图像标记为1，较低者标记为0。）
(2) 各类算法拟合结果文件夹（包含本文提出的评价指标BPBD）：内含6个子文件夹，分别展示了算法在TID2008、TID2013、LIVE、CID2013、FocusPath与CSIQ数据集上的拟合结果。