Low-power image enhancement accelerator for light and dark adaptation명순응 및 암순응을 위한 저전력 화질 개선 가속기
A 42mW 60fps image enhancement accelerator chip to supplement image sensor of image recording device is proposed. By human adaptation model mimicking, neuro fuzzy logic based image enhancement algorith-m is proposed for light and dark adaptation. Multiscale retinex(MSR) is chosen for image enhancement algorithm, and adaptive neuro fuzzy inference system(ANFIS) is selected for neuro fuzzy logic. To achieve low power operation, recursive gaussian algorithm is adopted and mixed mode ANFIS with multidimensional membership function is implemented. Also, MSR dual level parallelization and two stage pipelining enables the chip to achieve real time operation
- Advisors
- Yoo, Hoi-Junresearcher; 유회준
- Description
- 한국과학기술원 : 전기및전자공학과,
- Publisher
- 한국과학기술원
- Issue Date
- 2011
- Identifier
- 567313/325007 / 020093033
- Language
- eng
- Description
학위논문(석사) - 한국과학기술원 : 전기및전자공학과, 2011., [ vi, 44 p. ]
- Keywords
Neuro fuzzy logic; 실시간; 저전력; 칩 구현; 화질 개선; 뉴로 퍼지 논리; image enhancement; chip implementation; low power; real time
- Appears in Collection
- EE-Theses_Master(석사논문)
- Files in This Item
- There are no files associated with this item.
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