A progressive refinement approach for image magnification

被引:2
|
作者
Johan, H [1 ]
Nishita, T [1 ]
机构
[1] Univ Tokyo, Tokyo, Japan
来源
12TH PACIFIC CONFERENCE ON COMPUTER GRAPHICS AND APPLICATIONS, PROCEEDINGS | 2004年
关键词
D O I
10.1109/PCCGA.2004.1348366
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The rapid growth in computer graphics and digital cameras has resulted in computer users being able to easily produce digital images. As a result, the need to display and print digital images has increased. Nowadays, high-resolution display and printing devices are available to users. Therefore, high-resolution images are needed in order to produce high quality displayed images and high quality prints. However, since high-resolution images are not usually provided, there is a need to magnify the original images. Previous methods on magnifying images have the disadvantage that either the sharpness of the edges cannot be preserved or that some distinct artifacts are produced in the magnified image. In this paper we present a novel method for doubling the size of images in which the sharpness of the edges is preserved without introducing distinct artifacts in the magnified images. The proposed method consists of two steps, first generation of an initial magnified image and then progressively refining this image to produce a high quality magnified image. The experimental results show that with the proposed method it is possible to produce magnified images of comparable, and in some cases superior visual quality to those produced using previous methods.
引用
收藏
页码:351 / 360
页数:10
相关论文
共 50 条
  • [1] Progressive refinement approach to fast radiosity image generation
    Cohen, Michael F.
    Chen, Shenchang Eric
    Wallace, John R.
    Greenberg, Donald P.
    Computer Graphics (ACM), 1988, 22 (04): : 75 - 84
  • [2] Progressive refinement for robust image registration
    宋利
    周源华
    周军
    Chinese Optics Letters, 2005, (07) : 392 - 394
  • [3] Progressive Keypoint Localization and Refinement in Image Matching
    Bellavia, Fabio
    Morelli, Luca
    Colombo, Carlo
    Remondino, Fabio
    IMAGE ANALYSIS AND PROCESSING - ICIAP 2023 WORKSHOPS, PT II, 2024, 14366 : 322 - 334
  • [4] PRNet: A Progressive Refinement Network for referring image segmentation
    Liu, Jing
    Jiang, Huajie
    Hu, Yongli
    Yin, Baocai
    NEUROCOMPUTING, 2025, 630
  • [5] A progressive refinement approach for the visualisation of implicit surfaces
    Gamito, Manuel N.
    Maddock, Steve C.
    GRAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS THEORY AND APPLICATIONS, 2006, : 26 - +
  • [6] A progressive refinement approach for the visualisation of implicit surfaces
    Gamito, Manuel N.
    Maddock, Steve C.
    ADVANCES IN COMPUTER GRAPHICS AND COMPUTER VISION, 2007, 4 : 93 - +
  • [7] Color Image Magnification: Geometrical Pattern Classification Approach
    Yong, Tien Fui
    Choo, Wou Onn
    Kok, Hui Meian
    VISUAL INFORMATICS: BRIDGING RESEARCH AND PRACTICE, 2009, 5857 : 619 - +
  • [8] Progressive Refinement Network for Remote Sensing Image Change Detection
    Xu, Xinghan
    Liang, Yi
    Liu, Jianwei
    Zhang, Chengkun
    Wang, Deyi
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
  • [9] ProFeat: Unsupervised image clustering via progressive feature refinement
    Kim, Jeonghoon
    Im, Sunghoon
    Cho, Sunghyun
    PATTERN RECOGNITION LETTERS, 2022, 164 : 166 - 172
  • [10] A Progressive Refinement Approach for JAVA']JAVA Regression Test Selection
    Ni, Shenyu
    Liu, Yajun
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 170 - 174