Structure preservation in content-aware image retargeting using multi-operator

被引:6
|
作者
Garg, Ankit [1 ]
Negi, Ashish [2 ]
机构
[1] UTU, Dept Comp Sci & Engn, Dehra Dun, Uttarakhand, India
[2] GBPEC, Dept Comp Sci & Applicat, Ghurdauri, Pauri, India
关键词
image colour analysis; distortion; image retrieval; image processing; optimisation; structure preservation; content-aware image retargeting; image retargeting technique; multioperators; salient objects; seam carving; cropping; retargeted image; multioperator scheme; seam diversion based image retargeting algorithm; warping operator; different multioperator schemes; image quality; image retargeting operations; optimised image distance function; bidirectional image Euclidean distance; energy-based; seams; user-based subjective analysis;
D O I
10.1049/iet-ipr.2019.1032
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The evolution of image retargeting technique demands the exploitation of multi-operators since they are capable of preserving the structure and salient objects of the image. However, these multi-operators are mostly based on seam carving with scaling or cropping operators which lead to significant distortions in the retargeted image. This study proposes a new multi-operator scheme which has improved seam carving, through the proposed seam diversion based image retargeting algorithm, integrated with the cropping and warping operator. A total of six different multi-operator schemes have been proposed out of which the MO6 technique gave remarkable results in terms of image quality, least distortion, and lowest run-time. To simplify image retargeting operations, an optimised image distance function was used. The optimised image distance function was formulated which combines bidirectional image Euclidean distance, dominant colour descriptor, and an energy-based coefficient to bypass seams from the point where seams start clashing and hence the defined threshold violates. By integrating cropping and warping into the proposed algorithm, it preserves the salient features of the retargeted images. Typical results have been presented which demonstrates the effectiveness of the proposed methods. User-based subjective analysis has also been carried out which shows that image retargeted using the MO6 technique has high user preference.
引用
收藏
页码:2965 / 2975
页数:11
相关论文
共 50 条
  • [21] Patch-Based Image Warping for Content-Aware Retargeting
    Lin, Shih-Syun
    Yeh, I-Cheng
    Lin, Chao-Hung
    Lee, Tong-Yee
    IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 15 (02) : 359 - 368
  • [22] Content-Aware Image Retargeting with Controlled Distortion for Small Displays
    Tripathi, Prasun Chandra
    Pal, Rajarshi
    2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, : 193 - 200
  • [23] Significance-Preserving-Guided Content-Aware Image Retargeting
    Sung, Y.-H. (facetoface9999@gmail.com), 1600, Springer Science and Business Media Deutschland GmbH (21):
  • [24] A content-aware image retargeting method based on mesh deformation
    Liu, X. (xpliu@dlut.edu.cn), 1600, Institute of Computing Technology (25):
  • [25] A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement
    Li, Yuwei
    Guo, Lihua
    Jin, Lianwen
    IEEE ACCESS, 2019, 7 : 91912 - 91923
  • [26] Multi-operator Image Retargeting with Preserving Aspect Ratio of Important Contents
    Zhang, Qian
    Tang, Zhenhua
    Jiang, Hongbo
    Chang, Kan
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT II, 2018, 10736 : 306 - 315
  • [27] Fusion of Saliency and Edge Map for Multi-operator Image Retargeting Algorithm
    Guo, Qian
    Xu, Yanlong
    Sun, Limin
    Yang, Tao
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT VIII, ICIC 2024, 2024, 14869 : 27 - 43
  • [29] Supervised deep learning for content-aware image retargeting with Fourier Convolutions
    Givkashi M.
    Naderi M.
    Karimi N.
    Shirani S.
    Samavi S.
    Multimedia Tools and Applications, 2024, 83 (36) : 83611 - 83627
  • [30] Non-uniform Mesh Warping for Content-Aware Image Retargeting
    Bao, Huiyun
    Li, Xueqing
    IMAGE ANALYSIS AND RECOGNITION: 8TH INTERNATIONAL CONFERENCE, ICIAR 2011, PT I, 2011, 6753 : 262 - 273