Analysis of the Wavelet Domain Filtering Approach for Video Super-Resolution

被引:0
|
作者
Daithankar, Mrunmayee, V [1 ]
Ruikar, Sachin D. [1 ]
机构
[1] Walchand Coll Engn, Dept Elect Engn, Sangli, Maharashtra, India
关键词
observation model; super-resolution; video quality parameters; wavelet residuals; wavelet domain processing; IMAGE; RECONSTRUCTION; INTERPOLATION; RECOGNITION; DISCRETE;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The wavelet domain-centered algorithms for the super-resolution research area give better visual quality and have been explored by different researchers. The visual quality is achieved with increased complexity and cost as most of the systems embed different pre- and post-processing techniques. The frequency and spatial domain-based methods are the usual approaches for super-resolution with some benefits and limitations. Considering the benefits of wavelet domain processing, this paper deals with a new algorithm that depends on wavelet residues. The methodology opts for wavelet domain filtering and residue extraction to get super-resolved frames for better visuals without embedding other techniques. The avoidance of noisy high-frequency components from low-quality videos and the consideration of edge information in the frames are the main targets of the super-resolution process. This inverse process is carried with a proper combination of information present in low-frequency bands and residual information in the high-frequency components. The efficient known algorithms always have to sacrifice simplicity to achieve accuracy, but in the proposed algorithm efficiency is achieved with simplicity. The robustness of the algorithm is tested by analyzing different wavelet functions and at different noise levels. The proposed algorithm performs well in comparison to other techniques from the same domain.
引用
收藏
页码:7477 / 7482
页数:6
相关论文
共 50 条
  • [1] Compressed Domain Deep Video Super-Resolution
    Chen, Peilin
    Yang, Wenhan
    Wang, Meng
    Sun, Long
    Hu, Kangkang
    Wang, Shiqi
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 30 (30) : 7156 - 7169
  • [2] Wavelet Attention Embedding Networks for Video Super-Resolution
    Choi, Young-Ju
    Lee, Young-Woon
    Kim, Byung-Gyu
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 7314 - 7320
  • [3] RESIDUAL ATTENTION NETWORK FOR WAVELET DOMAIN SUPER-RESOLUTION
    Liu, Jing
    Xie, Yuan
    Song, Haichuan
    Yuan, Wang
    Ma, Lizhuang
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 2033 - 2037
  • [4] Image super-resolution reconstruction based on wavelet domain
    Dong Ben-zhi
    Yu Ming-cong
    Zhao Peng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2021, 36 (02) : 317 - 326
  • [5] A post wavelet iterative filtering MAP super-resolution algorithm
    Pu, Li
    Jin, Weiqi
    Liu, Yushu
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 4, PROCEEDINGS, 2007, : 226 - +
  • [6] Super-resolution Reconstruction of Video Sequences Based on Wavelet-domain Spatial and Temporal Processing
    Lee, Chang-Ming
    Lee, Chien-Jung
    Hsieh, Chia-Yung
    Lie, Wen-Nung
    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012), 2012, : 194 - 197
  • [7] Spatiotemporal Super-Resolution for Multiview Video in Transform Domain
    Li, Yawei
    Li, Xiaofeng
    Fu, Zhizhong
    Niu, Tingting
    Long, Keyu
    2016 30TH ANNIVERSARY OF VISUAL COMMUNICATION AND IMAGE PROCESSING (VCIP), 2016,
  • [8] Super-resolution reconstruction of video sequence based on WLS filtering
    Han, Yu-Bing
    Shu, Feng
    Wu, Le-Nan
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2009, 31 (01): : 120 - 123
  • [9] Deep Residual Network in Wavelet Domain for Image Super-resolution
    Duan L.-J.
    Wu C.-L.
    En Q.
    Qiao Y.-H.
    Zhang Y.-D.
    Chen J.-C.
    Ruan Jian Xue Bao/Journal of Software, 2019, 30 (04): : 941 - 953
  • [10] Wavelet Domain Multidictionary Learning for Single Image Super-Resolution
    Wu, Xiaomin
    Fan, Jiulun
    Xu, Jian
    Wang, Yanzi
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2015, 2015