Volume 2 Issue 5
Oct.  2009
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LIU Chun-xiang, Li Hong-zuo. Study of real-time image enhancement algorithm[J]. Chinese Optics, 2009, 2(5): 395-401.
Citation: LIU Chun-xiang, Li Hong-zuo. Study of real-time image enhancement algorithm[J]. Chinese Optics, 2009, 2(5): 395-401.

Study of real-time image enhancement algorithm

  • Received Date: 2009-06-17
  • Rev Recd Date: 2009-08-23
  • Publish Date: 2009-10-20
  • Image enhancement is the most attractive areas in image-processing. In the embedded video image processing system, there are two key issues, quality of the enhanced image and speed of the image-processing, which decide the efficiency of the algorithm. And, the solution to the issues is the reasonable connection of appropriate image enhancement algorithm and efficient hardware platform. Depending on studying many typical enhancement algorithms,simulate three typical enhancement algorithm on matlab platform. The algorithms are histogram equalization, Homomorphic filtering, wavelet. Finally, analyze the simulation results and compare the advantages and disadvantages of each algorithm, point out their best scenes for application and the most efficient implementation hardware platform. In order to conclude a set of effective application instructing rules.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Study of real-time image enhancement algorithm

Abstract: Image enhancement is the most attractive areas in image-processing. In the embedded video image processing system, there are two key issues, quality of the enhanced image and speed of the image-processing, which decide the efficiency of the algorithm. And, the solution to the issues is the reasonable connection of appropriate image enhancement algorithm and efficient hardware platform. Depending on studying many typical enhancement algorithms,simulate three typical enhancement algorithm on matlab platform. The algorithms are histogram equalization, Homomorphic filtering, wavelet. Finally, analyze the simulation results and compare the advantages and disadvantages of each algorithm, point out their best scenes for application and the most efficient implementation hardware platform. In order to conclude a set of effective application instructing rules.

LIU Chun-xiang, Li Hong-zuo. Study of real-time image enhancement algorithm[J]. Chinese Optics, 2009, 2(5): 395-401.
Citation: LIU Chun-xiang, Li Hong-zuo. Study of real-time image enhancement algorithm[J]. Chinese Optics, 2009, 2(5): 395-401.

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