IQM2: new image quality measure based on steerable pyramid wavelet transform and structural similarity index

التفاصيل البيبلوغرافية
العنوان: IQM2: new image quality measure based on steerable pyramid wavelet transform and structural similarity index
المؤلفون: Sonja Grgic, Emil Dumic, Mislav Grgic
المصدر: Signal, Image and Video Processing. 8:1159-1168
بيانات النشر: Springer Science and Business Media LLC, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Structural similarity, Image quality, business.industry, image quality, image decomposition, image databases, IQM2 measure, SSIM index, SPWT transform, Wavelet transform, Pattern recognition, Steerable pyramid, Correlation, Kernel (image processing), Signal Processing, Multimedia information systems, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business, Mathematics
الوصف: In this paper, we present a new full-reference objective image quality measure—IQM2, based on structural similarity index and steerable pyramid wavelet transform. IQM2 is tested using different number of orientation kernels and seven subjective databases. Finally, IQM2 measure is compared with twelve commonly used full-reference objective measures. Results show that proposed IQM2 measure, using kernel with 2 orientations, provides good correlation with the results of subjective evaluation while keeping computational time lower than other similar performing objective measures.
تدمد: 1863-1711
1863-1703
DOI: 10.1007/s11760-014-0654-3
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5e970fb2ccaa0bc7bef4d41df943810
https://doi.org/10.1007/s11760-014-0654-3
Rights: CLOSED
رقم الانضمام: edsair.doi.dedup.....d5e970fb2ccaa0bc7bef4d41df943810
قاعدة البيانات: OpenAIRE
الوصف
تدمد:18631711
18631703
DOI:10.1007/s11760-014-0654-3