激光与红外
激光與紅外
격광여홍외
LASER & INFRARED
2014年
6期
687-691
,共5页
图像融合%奇异值分解(K_SVD)%色彩传递%稀疏表示
圖像融閤%奇異值分解(K_SVD)%色綵傳遞%稀疏錶示
도상융합%기이치분해(K_SVD)%색채전체%희소표시
image fusion%K_SVD%colour transfer%sparse representation
针对红外图像和微光图像的特点，提出一种基于稀疏表示和色彩传递的双波段图像融合与彩色化方法。该方法首先采用改进的基于K_SVD的分块稀疏表示获得红外与微光图像的稀疏融合图像，然后在YUV空间采用基于色彩传递的自然感彩色夜视处理技术，对红外与微光图像进行彩色化融合，最后用稀疏融合图像的灰度值代替彩色融合图像的Y分量，从而实现双波段图像的融合与彩色化。实验表明，本文提出的彩色融合算法能够综合红外与微光特征信息，且使图像具有最佳的亮度对比和细节信息，图像色彩更易于人眼观察。
針對紅外圖像和微光圖像的特點，提齣一種基于稀疏錶示和色綵傳遞的雙波段圖像融閤與綵色化方法。該方法首先採用改進的基于K_SVD的分塊稀疏錶示穫得紅外與微光圖像的稀疏融閤圖像，然後在YUV空間採用基于色綵傳遞的自然感綵色夜視處理技術，對紅外與微光圖像進行綵色化融閤，最後用稀疏融閤圖像的灰度值代替綵色融閤圖像的Y分量，從而實現雙波段圖像的融閤與綵色化。實驗錶明，本文提齣的綵色融閤算法能夠綜閤紅外與微光特徵信息，且使圖像具有最佳的亮度對比和細節信息，圖像色綵更易于人眼觀察。
침대홍외도상화미광도상적특점，제출일충기우희소표시화색채전체적쌍파단도상융합여채색화방법。해방법수선채용개진적기우K_SVD적분괴희소표시획득홍외여미광도상적희소융합도상，연후재YUV공간채용기우색채전체적자연감채색야시처리기술，대홍외여미광도상진행채색화융합，최후용희소융합도상적회도치대체채색융합도상적Y분량，종이실현쌍파단도상적융합여채색화。실험표명，본문제출적채색융합산법능구종합홍외여미광특정신식，차사도상구유최가적량도대비화세절신식，도상색채경역우인안관찰。
Considering the features of infrared image and low-light-level image,an image fusion and colorization method based on sparse representation and colour transfer is proposed in this paper. Firstly,the blocked sparse repre-sentation method based on K_SVD is used to extract image features and then the grayscale fused image with the max fusion rule is gained. Secondly,the colour is transferred by matching the statistics of target image and the reference image in the YUV colour space. Finally,the final color fusion image is obtained by replacing the luminance compo-nent with the grayscale fused image during the color transfer process. The experimental results show that the proposed algorithm can integrate the features of infrared image and low-light-level image well. And this method can obtain the perfect contrast and detail information,and the colour of the fusion image is comfortable for human eyes.
