Color-distorted image dataset

Citation Author(s):
Chengqiang
Huang
Submitted by:
Chengqiang Huang
Last updated:
Thu, 11/30/2023 - 22:00
DOI:
10.21227/mwq9-1d42
License:
Creative Commons Attribution
265 Views
Categories:
Artificial Intelligence
Digital signal processing
Machine Learning
Image Processing
Keywords:
Automatic white balance; histogram position; histogram shape; color-distorted image;
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Abstract 

Automatic white balance (AWB) is an important module for color constancy of cameras. The classification of the normal image and the color-distorted image is critical to realize intelligent AWB. One tenth of ImageNet is utilized as the normal image dataset for training, validating and testing. The distorted dataset is constructed by the proposed theory for generation of color distortion. To generate various distorted color, histogram shifting and matching are proposed to randomly adjust the histogram position or shape. Furthermore, the extent for shifting or matching is randomly generated to ensure the diversity of color distortion. The dataset is robust because both histogram position and histogram shape are randomly adjusted. There are totally 288,132 images in the dataset.

Instructions: 

297 sub-compressed packages should be downloaded firstly. You need to delete underscores in some file names to decompress properly. There are three hierarchies for this dataset. In the first hierarchy, the image dataset is stored in folder named data. There are three folders for training, validating and testing in the second hierarchy. The normal images are stored in the folder named 0 and the distorted are stored in the folder named 1 for the third hierarchy.

Funding Agency: 
national Natural Science Foundation of China
Grant Number: 
62164014 and 61741123

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