Wavelet processing of topographic high dynamic range images

被引:0
|
作者
V. A. Tkal’
A. O. Okunev
M. N. Petrov
L. N. Danil’chuk
机构
[1] Novgorod State University,
关键词
Surface Investigation; Neutron Technique; Reference Region; Decomposition Level; Transmission Band;
D O I
暂无
中图分类号
学科分类号
摘要
For a 6H-SiC single crystal, experimental results of the digital processing of topographic images with various dynamic ranges are given. In this case, wavelet analysis was used. The images were obtained by x-ray topography based on the Borrmann effect and were presented in 8-, 16-, and 32-bit formats. It is shown that, on eliminating the experimental contrast granularity, 32-bit images turn out to be more convenient for decoding and contain more useful information about structure defects of a single crystal under study as compared to the 8- and 16-bit images. The wavelet analysis efficiency increases considerably for the digital processing of separate topogram fragments and depends on the choice of the region and the size of the reference image.
引用
收藏
页码:277 / 285
页数:8
相关论文
共 50 条
  • [1] Wavelet Processing of Topographic High Dynamic Range Images
    Tkal, V. A.
    Okunev, A. O.
    Petrov, M. N.
    Danil'chuk, L. N.
    JOURNAL OF SURFACE INVESTIGATION, 2007, 1 (03): : 277 - 285
  • [2] High Dynamic Range Processing of Mars Color Camera Images
    Gambhir, Rajdeep K.
    Moorthi, Manthira S.
    Dhar, D.
    2015 INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND IMPLEMENTATIONS (ICSCTI), 2015,
  • [3] Rendering high dynamic range images by using integrated global and local processing
    Shin, Hyunchul
    Yu, Teng
    Ismail, Yasir
    Saeed, Bilal
    OPTICAL ENGINEERING, 2011, 50 (11)
  • [4] Rendering high dynamic range images
    DiCarlo, JM
    Wandell, BA
    SENSORS AND CAMERA SYSTEMS FOR SCIENTIFIC, INDUSTRIAL AND DIGITAL PHOTOGRAPHY APPLICATIONS, 2000, 3965 : 392 - 401
  • [5] Visualization of high dynamic range images
    Pardo, A
    Sapiro, G
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2003, 12 (06) : 639 - 647
  • [6] Haar Wavelet-Based Fusion of Multiple Exposure Images for High Dynamic Range Imaging
    Vivek Ramakrishnan
    D. J. Pete
    SN Computer Science, 2022, 3 (2)
  • [7] Visualization of high dynamic range images
    Fardo, A
    Sapiro, G
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2002, : 633 - 636
  • [8] Local contrast-enhanced MR images via high dynamic range processing
    Chandra, Shekhar S.
    Engstrom, Craig
    Fripp, Jurgen
    Neubert, Ales
    Jin, Jin
    Walker, Duncan
    Salvado, Olivier
    Ho, Charles
    Crozier, Stuart
    MAGNETIC RESONANCE IN MEDICINE, 2018, 80 (03) : 1206 - 1218
  • [9] Digital camera workflow for high dynamic range images using a model of retinal processing
    Tamburrino, Daniel
    Alleysson, David
    Meylan, Laurence
    Suesstrunk, Sabine
    DIGITAL PHOTOGRAPHY IV, 2008, 6817
  • [10] A Wavelet Coefficients Based Dynamic Range Compression Technique for Infrared Images
    Karali, Ali Onur
    Aytac, Tayfun
    2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2013,