TY - GEN
T1 - A simple relationship between SSIM and PSNR for DCT-based compressed images and video
T2 - IEEE 25th International Workshop on Multimedia Signal Processing
AU - Martini, Maria
N1 - Organising Body: IEEE
PY - 2023/12/8
Y1 - 2023/12/8
N2 - The aim of this paper is to show how the structural similarity metric SSIM for image quality assessment can be seen in many cases, such as DCT-based compressed images and video, as a content-aware version of the peak signal-to-noise ratio (PSNR). In fact, under some assumptions described in the paper, the first can be derived directly from the latter based on a single content-dependent parameter, i.e. the variance of the image / video frame, not requiring joint access to original and compressed image/frames. Results show the validity of the assumptions and high accuracy for the derivation / estimation, in particular at quality levels of interest in real use cases.
AB - The aim of this paper is to show how the structural similarity metric SSIM for image quality assessment can be seen in many cases, such as DCT-based compressed images and video, as a content-aware version of the peak signal-to-noise ratio (PSNR). In fact, under some assumptions described in the paper, the first can be derived directly from the latter based on a single content-dependent parameter, i.e. the variance of the image / video frame, not requiring joint access to original and compressed image/frames. Results show the validity of the assumptions and high accuracy for the derivation / estimation, in particular at quality levels of interest in real use cases.
KW - Computer science and informatics
U2 - 10.1109/MMSP59012.2023.10337706
DO - 10.1109/MMSP59012.2023.10337706
M3 - Conference contribution
SN - 9798350338942
T3 - IEEE Workshop on Multimedia Signal Processing
BT - 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP)
PB - Institute of Electrical and Electronics Engineers
CY - Piscataway, U.S.
Y2 - 27 September 2023 through 29 September 2023
ER -