• Title/Summary/Keyword: 쉐이딩 보정 알고리듬

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FPGA Design and Realization for Scanning Image Enhancement using LUT Shading Correction Algorithm (LUT 쉐이딩 보정 알고리듬을 이용한 스캐닝 이미지 향상 FPGA 설계 구현)

  • Kim, Young-Bin;Ryu, Conan K.R.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.8
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    • pp.1759-1764
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    • 2012
  • This paper describes FPGA design and realization using the shading correction algorithm for a CCD scan image enhancement. The shading algorithm is used by LUT (Look-up Table). The image enhancement results from that the histogram minimum value and maximum with respect to all pixels of the CCD image should be extracted, and the shading LUT is constructed to keep constant histogram with offset data. The output of sensor be converted to corrected LUT image in preprocessing, and the converting system is realized by FPGA to be enabled to operate in real time. The result of the experimentation for the proposed system is showed to take the scanning time 2.4ms below. The system is presented to be based on a low speed processor system to scan enhanced images in real time and be guaranteed to be low cost.

Single chip multi-function peripheral image processor with unified binarization architecture (통합된 이진화 구조를 가진 복합기용 1-Chip 영상처리 프로세서의 개발)

  • Park, Chang-Dae;Lee, Eul-Hwan;Kim, Jae-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.11
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    • pp.34-43
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    • 1999
  • A high-speed image processor (HIP) is implemented for a high-speed multi-function peripheral. HIP has a binarization architecture with unified data path. It has the pixel-by-pixel pipelined processing to minimize size of the external memory. It performs pre-processing such as shading correction, automatic gain control (AGC), and gamma correction, and also drives external CCD or CIS modules. The pre-processed data can be enlarged or reduced. Various binarizatin algorithms can be processed in the unified archiecture. The embedded binarization algorithms are simple thresholding, high pass filtering, dithering, error diffusion, and thershold modulated error diffusion. These binarization algorithms are unified based on th threshold modulated error diffusion. The data path is designed to share the common functional block of the binarization algorithms. The complexity of the controls and the gate counts is greatly reduced with this novel architecture.

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