• 模糊图像分类
• Fuzzy Image Classification
  • train_real_clear.rartrain_real_defocus.rartrain_real_hazy.rartrain_real_motion.rartest_real_blur.rarContent 2、Simulation Blur Image Database仿真模糊数据库train_simulated_clear.rartrain_simulated_defocus.rartrain_simulated_haze.rartrain_simulated_motion.rartest_simulated_blur.zip————————————————————————————————————BHFID (Beihang University Fuzzy Image Database) Database深度学习模糊图像数据库【备】：数据量较大上传受限，我们提供百度云链接共大家参考和下载。[Preparation]: Because of the large amount of database and uploaded restrictions, we provide Baidu Cloud links for your reference and download.链接(link)：https://pan.baidu.com/s/1m7jy9MeO3QdCraI5EMPm6Q 密码(password)：yi7u注：此网址需手动复制粘贴至浏览器，再自行输入密码，直接点击链接无效。Note: this link should be manually copied and pasted to a browser, then enter the password byyourself. Do not click the link directly.">| 图像质量对视觉系统来说至关重要，但由于技术水平的有限性，导致图像在获取、传输以及存储过程中会模糊失真。模糊图像分类是模糊图像复原获取高质量图像的前提条件，是视觉系统的重要组成，所以，模糊图像分类具有重要的研究意义。 Image quality is very important to the visual system. However, due to the limited level of technology, the image will be blurred and distorted during acquisition, transmission and storage. Fuzzy image classification is the prerequisite for the restoration of high quality images as well as the important component of the high quality visual system. Therefore, fuzzy imageclassification has wide application prospects.本实验室分别利用传统的机器学习方法和深度学习方法实现模糊图像的模糊类型快速准确的识别和分类。在此过程中本实验室建造了自己的模糊图像数据库，分别包含了仿真模糊图像库和自然模糊图像库。 Using statistical learning method and deep learning method, we have realized the identification and classification of the fuzzy types for fuzzy images [paper]. In this process, our laboratory has built our own blur image database, named as BHBID (Beihang University Blur Image Database), which includes simulation blur image database and natural blur image database.数据库中所有数据如附件中压缩文件，数据库中的样本图像如下：All the data in the database is compressed in the attachment. The sample images in the database are as follows:————————————————————————————————————BHBID (Beihang University Blur Image Database) DatabaseContent 1、Natural Blur Image Database真实模糊数据库train_real_clear.rartrain_real_defocus.rartrain_real_hazy.rartrain_real_motion.rartest_real_blur.rarContent 2、Simulation Blur Image Database仿真模糊数据库train_simulated_clear.rartrain_simulated_defocus.rartrain_simulated_haze.rartrain_simulated_motion.rartest_simulated_blur.zip————————————————————————————————————BHFID (Beihang University Fuzzy Image Database) Database深度学习模糊图像数据库【备】：数据量较大上传受限，我们提供百度云链接共大家参考和下载。[Preparation]: Because of the large amount of database and uploaded restrictions, we provide Baidu Cloud links for your reference and download.链接(link)：https://pan.baidu.com/s/1m7jy9MeO3QdCraI5EMPm6Q 密码(password)：yi7u注：此网址需手动复制粘贴至浏览器，再自行输入密码，直接点击链接无效。Note: this link should be manually copied and pasted to a browser, then enter the password byyourself. Do not click the link directly.

模糊图像分类

Fuzzy Image Classification

| 图像质量对视觉系统来说至关重要，但由于技术水平的有限性，导致图像在获取、传输以及存储过程中会模糊失真。模糊图像分类是模糊图像复原获取高质量图像的前提条件，是视觉系统的重要组成，所以，模糊图像分类具有重要的研究意义。 Image quality is very important to the visual system. However, due to the limited level of technology, the image will be blurred and distorted during acquisition, transmission and storage. Fuzzy image classification is the prerequisite for the restoration of high quality images as well as the important component of the high quality visual system. Therefore, fuzzy imageclassification has wide application prospects.本实验室分别利用传统的机器学习方法和深度学习方法实现模糊图像的模糊类型快速准确的识别和分类。在此过程中本实验室建造了自己的模糊图像数据库，分别包含了仿真模糊图像库和自然模糊图像库。 Using statistical learning method and deep learning method, we have realized the identification and classification of the fuzzy types for fuzzy images [paper]. In this process, our laboratory has built our own blur image database, named as BHBID (Beihang University Blur Image Database), which includes simulation blur image database and natural blur image database.数据库中所有数据如附件中压缩文件，数据库中的样本图像如下：All the data in the database is compressed in the attachment. The sample images in the database are as follows:————————————————————————————————————BHBID (Beihang University Blur Image Database) DatabaseContent 1、Natural Blur Image Database真实模糊数据库train_real_clear.rartrain_real_defocus.rartrain_real_hazy.rartrain_real_motion.rartest_real_blur.rarContent 2、Simulation Blur Image Database仿真模糊数据库train_simulated_clear.rartrain_simulated_defocus.rartrain_simulated_haze.rartrain_simulated_motion.rartest_simulated_blur.zip————————————————————————————————————BHFID (Beihang University Fuzzy Image Database) Database深度学习模糊图像数据库【备】：数据量较大上传受限，我们提供百度云链接共大家参考和下载。[Preparation]: Because of the large amount of database and uploaded restrictions, we provide Baidu Cloud links for your reference and download.链接(link)：https://pan.baidu.com/s/1m7jy9MeO3QdCraI5EMPm6Q 密码(password)：yi7u注：此网址需手动复制粘贴至浏览器，再自行输入密码，直接点击链接无效。Note: this link should be manually copied and pasted to a browser, then enter the password byyourself. Do not click the link directly.

| | —- | | | | | | | | (a)defocus (b)Gaussian (c)haze (d)motion simulated blur images仿真模糊图像：分别为离焦模糊、高斯模糊、雾天模糊和运动模糊 | | | | (e)defocus (f)Guassion (g)haze (h)motion real blur images真实模糊图像：分别为离焦模糊、高斯模糊、雾天模糊和运动模糊 | | | | | | 附件【SVM_test_simulated_blur.zip】已下载111次附件【SVM_train_simulated_motion.rar】已下载106次附件【SVM_train_real_defocus.rar】已下载128次附件【SVM_train_real_clear.rar】已下载150次附件【SVM_train_real_motion.rar】已下载124次附件【SVM_train_simulated_haze.rar】已下载132次附件【SVM_train_real_hazy.rar】已下载113次附件【SVM_test_real_blur.rar】已下载132次附件【SVM_train_simulated_defocus.rar】已下载109次附件【SVM_train_simulated_clear.rar】已下载108次 |

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