Digital Images Clarity Quality Evaluation using Non-subsampled Contourlet Transform

被引：0
作者：
Li, Yi [1 ]
Liu, Guanzhong [2 ]
机构：
[1] Cent S Univ, Sch Business, Changsha, Hunan, Peoples R China
[2] Tsinghua Univ, Acad Arts & Design, Beijing, Peoples R China
来源：
SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, PROCEEDINGS | 2009年
关键词：
image clarity; quality evaluation; non-subsampled contourlet transform;
D O I：
10.1109/ISCID.2009.87
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Nowadays, more and more digital images are used in industrial design field. The tools for digital images quality evaluation are needed to select good images. In this paper, we propose one clarity quality metric using the non-subsampled contourlet transform. The proposed metric is based on the high frequency and low frequency coefficients with the non-subsampled contourlet transform. Experimental results on many industrial design images show that the proposed metric can evaluate the clarity quality effectively.
引用
收藏
页码：318 / 321
页数：4
相关论文
共 50 条
  • [21] Drop Size Distribution of Rain Droplet Using Non-Subsampled Contourlet Transform and Double Density Dual tree Transform
    Ghonge, P.
    Tuckley, K.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING 2016 (ICCASP 2016), 2017, 137 : 767 - 773
  • [22] Technique for image fusion based on non-subsampled contourlet transform domain improved NMF
    WeiWei Kong
    YingJie Lei
    Yang Lei
    Jie Zhang
    Science China Information Sciences, 2010, 53 : 2429 - 2440
  • [23] Non-subsampled Contourlet Transform & Coherent Point Drift based Registration of 2D Gel Electrophoresis Images
    Sudhakara, Sagar
    Patel, Nikunj
    Gadre, V. M.
    2017 2ND INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2017, : 410 - 415
  • [24] Combined Contourlet and Non-subsampled Contourlet Transforms Based Approach for Personal Identification using Palmprint
    Masood, Hassan
    Asim, Mohammad
    Mumtaz, Mustafa
    Bin Mansoor, Atif
    2009 DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA 2009), 2009, : 408 - 415
  • [25] Remote Sensing Image Enhancement Based on Non-Subsampled Contourlet Transform and Weighted Guided Filtering
    Wang Sheng
    Zhou Xinglin
    Zhu Pan
    Dong Jianping
    LASER & OPTOELECTRONICS PROGRESS, 2020, 57 (12)
  • [26] Performance Evaluation of L1-Norm-Based Blind Deconvolution after Noise Reduction with Non-Subsampled Contourlet Transform in Light Microscopy Images
    Kim, Kyuseok
    Kim, Ji-Youn
    APPLIED SCIENCES-BASEL, 2024, 14 (05):
  • [27] Improved Dual-Domain Filtering and Threshold Function Denoising Method for Ultrasound Images Based on Non-Subsampled Contourlet Transform
    Zhang, Xin
    Gu, Hongbin
    Zhou, Lai
    Chen, Liangliang
    Zheng, Qianqian
    Chen, Weibin
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2017, 7 (07) : 1624 - 1628
  • [28] An Infrared and Visible Image Fusion Method Based on Non-Subsampled Contourlet Transform and Joint Sparse Representation
    He, Guiqing
    Dong, Dandan
    Xia, Zhaoqiang
    Xing, Siyuan
    Wei, Yijing
    2016 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2016, : 492 - 497
  • [29] A method of super-resolution reconstruction for remote sensing image based on non-subsampled contourlet transform
    Zhou, Jinghong
    Zhou, Cui
    Zhu, Jianjun
    Fan, Donghao
    Guangxue Xuebao/Acta Optica Sinica, 2015, 35 (01):
  • [30] Non-subsampled Contourlet Based Deformable Model For Medical Image Segmentation
    Mewada, Hiren
    Patnaik, Suprava
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
12345