TID2008 is a new database for evaluating full-reference visual quality assessment metrics. It contains 1700 test images, including 25 reference images and 17 types of distortions for each reference image, with four levels of each distortion type. Mean Opinion Scores (MOS) for this database were obtained from over 800 experiments involving about 256,000 human quality judgments by observers from Finland, Italy, and Ukraine. The database is freely available for scientific use and can be used to test and design new visual quality metrics. The database includes various types of distortions such as additive noise, non-uniform noise, spatially correlated noise, impulse noise, quantization noise, Gaussian blur, residual distortions, and distortions caused by lossy compression. It also includes distortions related to non-eccentricity, block-wise distortions, and changes in mean and contrast. The database is designed to reflect the characteristics of the human visual system (HVS) and to provide a wide range of subjective quality assessments. The database was created by combining the Kodak test set with a synthesized image. All images are of size 512x384 pixels, and the database includes a variety of distortions that are relevant to practical applications. The database is used to evaluate the performance of various visual quality metrics, including PSNR, MSE, SSIM, VIF, and others. The results show that some metrics, such as PSNR-HVS and PSNR-HVS-M, have high correlation with human perception, while others have lower correlation. The database is available for download and can be used for scientific research. It is designed to provide a comprehensive set of test images and distortions for evaluating the performance of visual quality metrics. The database is currently the largest of its kind, with a wide range of distortions and a large number of test images. It is intended to be used for evaluating the correspondence of visual quality metrics with HVS and for the design of new metrics. The database is freely available for download and use.TID2008 is a new database for evaluating full-reference visual quality assessment metrics. It contains 1700 test images, including 25 reference images and 17 types of distortions for each reference image, with four levels of each distortion type. Mean Opinion Scores (MOS) for this database were obtained from over 800 experiments involving about 256,000 human quality judgments by observers from Finland, Italy, and Ukraine. The database is freely available for scientific use and can be used to test and design new visual quality metrics. The database includes various types of distortions such as additive noise, non-uniform noise, spatially correlated noise, impulse noise, quantization noise, Gaussian blur, residual distortions, and distortions caused by lossy compression. It also includes distortions related to non-eccentricity, block-wise distortions, and changes in mean and contrast. The database is designed to reflect the characteristics of the human visual system (HVS) and to provide a wide range of subjective quality assessments. The database was created by combining the Kodak test set with a synthesized image. All images are of size 512x384 pixels, and the database includes a variety of distortions that are relevant to practical applications. The database is used to evaluate the performance of various visual quality metrics, including PSNR, MSE, SSIM, VIF, and others. The results show that some metrics, such as PSNR-HVS and PSNR-HVS-M, have high correlation with human perception, while others have lower correlation. The database is available for download and can be used for scientific research. It is designed to provide a comprehensive set of test images and distortions for evaluating the performance of visual quality metrics. The database is currently the largest of its kind, with a wide range of distortions and a large number of test images. It is intended to be used for evaluating the correspondence of visual quality metrics with HVS and for the design of new metrics. The database is freely available for download and use.