Academic Journal

Frequency-Based Adaptive Interpolation Filter in Intra Prediction

التفاصيل البيبلوغرافية
العنوان: Frequency-Based Adaptive Interpolation Filter in Intra Prediction
المؤلفون: Su-Yeon Lim, Min-Kyeong Choi, Yung-Lyul Lee
المصدر: Applied Sciences, Vol 13, Iss 3, p 1475 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: discrete cosine transform (DCT), interpolation filter, intra prediction, versatile video coding (VVC)/H.266, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: This paper proposes a method to improve the fractional interpolation of reference samples in the Versatile Video Coding (VVC) intra prediction. The proposed method uses additional interpolation filters which use more integer-positioned reference samples for prediction according to the frequency information of the reference samples. In VVC, a 4-tap Discrete Cosine Transform-based interpolation filter (DCT-IF) and 4-tap Smoothing interpolation filter (SIF) are alternatively performed on the block size and block directional prediction mode for reference sample interpolation. This paper uses four alternative interpolation filters such as 8-tap/4-tap DCT-IFs, and 4-tap/8-tap SIFs and an interpolation filter selection method using a high-frequency ratio calculated from one-dimensional (1D) transform of the reference samples are proposed. The proposed frequency-based Adaptive Filter allows to achieve the overall Bjøntegaard Delta (BD) rate gains of −0.16%, −0.13%, and −0.09% for Y, Cb, and Cr components, respectively, compared with VVC.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/13/3/1475; https://doaj.org/toc/2076-3417
DOI: 10.3390/app13031475
URL الوصول: https://doaj.org/article/4c5f20914c934b6b988bee242ecc8467
رقم الانضمام: edsdoj.4c5f20914c934b6b988bee242ecc8467
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app13031475