Abstract
We present a new image quality assessment method for measuring the degradation of a digital image. The PSNR and SSIM are widely used to evaluate image quality degradation. However, the results obtained with the PSNR and SSIM do not always match a subjective evaluation. We developed a new image quality assessment method based on the dual-tree complex discrete wavelet transform (DT-CDWT) and a weighted geometric mean for four index values, namely, sharpness, granularity, 2-norm error, and infinity norm error, so as to match a subjective evaluation. We describe our image quality assessment in detail and present experimental results demonstrating the usefulness of our method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
