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Bit Depth Expansion using Error Distribution

에러 분포의 예측을 이용한 비트 심도 확장 기술

  • Woo, Jihwan (Korea University, Graduate School of Management of Technology) ;
  • Shim, Woosung (Samsung electronics Co., Ltd. DMC R&D Center)
  • 우지환 (고려대학교 기술경영전문대학원 기술경영학과) ;
  • 심우성 (삼성전자 DMC연구소)
  • Received : 2016.08.03
  • Accepted : 2017.01.17
  • Published : 2017.01.30

Abstract

A Bit-depth expansion is a method to increase the number of bit. It is getting important as the needs of HDR (High Dynamic Range) display or resolution of display have been increased because the level of luminance or expressiveness of color is proportional to the number of bit in the display. In this paper, we present effective bit-depth expansion algorithm for conventional standard 8 bit-depth content to display in high bit-depth device (10 bits). Proposed method shows better result comparing with recently developed methods in quantitative (PSNR) with low complexity. The proposed method shows 1db higher in PSNR measurement with 40 times faster in computational time.

비트의 심도 확장은 영상을 표현하는 비트 수를 확장하는 방법이다. HDR(High Dynamic Range) 디스플레이의 발전과 디스플레이의 해상도가 높아짐에 따라서, 디스플레이에서 영상을 표현하는 휘도가 증가하고 표현력도 상승한다. 이러한 디스플레이에 대응하기 위해서는 영상을 표현하는 비트수도 확장되어야 하기 때문에 비트의 심도 확장의 중요성은 높아지고 있다. 본 논문에서는, 높은 비트 심도(10bit)를 가지는 디스플레이에 기존의 영상(8bit)을 자연스럽게 표현하기 위한 비트 심도 확장 방법을 소개한다. 정량적인 결과와 정성적인 결과 및 연산량의 비교를 통해서 제안된 알고리즘이 기존의 비트 심도 확장 방법과 비교해서 우수함을 검증하였다. 제안된 방법은 기존의 최신 비트 심도 확장 방법과 비교해서, 40배 더 빠른 연산속도와 평균 1db이상 높은 성능 향상 결과를 보여준다.

Keywords

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