효과적인 역 톤 매핑을 위한 필터링 기법

Image Filtering Method for an Effective Inverse Tone-mapping
  • 강라훈
  • 박범준
  • 정제창

초록

In this paper, we propose a filtering method that can improve the results of inverse tone-mapping using guided image filter. Inverse tone-mapping techniques have been proposed that convert LDR images to HDR. Recently, many algorithms have been studied to convert single LDR images into HDR images using CNN. Among them, there exists an algorithm for restoring pixel information using CNN which learned to restore saturated region. The algorithm does not suppress the noise in the non-saturation region and cannot restore the detail in the saturated region. The proposed algorithm suppresses the noise in the non-saturated region and restores the detail of the saturated region using a WGIF in the input image, and then applies it to the CNN to improve the quality of the final image. The proposed algorithm shows a higher quantitative image quality index than the existing algorithms when the HDR quantitative image quality index was measured.

키워드

Inverse Tone-mappingHDRCNNDeep LearningGuided Image Filter
제목
효과적인 역 톤 매핑을 위한 필터링 기법
제목 (타언어)
Image Filtering Method for an Effective Inverse Tone-mapping
저자
강라훈박범준정제창
DOI
10.5909/JBE.2019.24.2.217
발행일
2019-03
저널명
방송공학회 논문지
24
2
페이지
217 ~ 226