Defective pixel map creation based on wavelet analysis in digital radiography detectors

Chun Joo Park, Hyoung Koo Lee, William Y. Song, Thorsten Graeve Achterkirchen, Ho Kyung Kim

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


The application of digital radiography detectors has attracted increasing attention in both medicine and industry. Since the imaging detectors are fabricated by semiconductor manufacturing process over large areas, defective pixels in the detectors are unavoidable. Moreover, the radiation damage due to the routine use of the detectors progressively increases the density of defective pixels. In this study, we present a method of identifying defective pixels in digital radiography detectors based on wavelet analysis. Artifacts generated due to wavelet transformations have been prevented by an additional local threshold method. The proposed method was applied to a sample digital radiography and the result was promising. The proposed method uses a single pair of dark and white images and does not require them to be corrected in gain-and-offset properties. This method will be helpful for the reliable use of digital radiography detectors through the working lifetime.

Original languageEnglish (US)
Pages (from-to)101-105
Number of pages5
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Issue number1
StatePublished - Apr 1 2011
Externally publishedYes


  • CMOS
  • Defective pixel map
  • Digital radiography
  • Flat-panel detector
  • Wavelet transformation
  • X-ray

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


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