DocumentCode
3111429
Title
Multi-frame low illumination noise removal in smartphone
Author
Kini, Ravi Prasad Mohan ; Khunteta, Shubham ; Garg, Shelly ; Yeturu, Kalidas ; Kar, Soummya
Author_Institution
Samsung Res. India, Bangalore, India
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
1
Lastpage
5
Abstract
Low illumination images contain splotches or dark noise and simple intensity enhancement techniques cannot be applied to enhance the brightness of such images as the noise gets amplified especially in the darker region. Several techniques are proposed in literature to remove such splotches based on single or multiple frames. In this work, a multiple frame based noise removal technique is proposed. The proposed method removes noise in multiple stages and in multiple bands of frequencies. The method is fast and can be implemented in a mobile device with near-real time performance for high resolution images.
Keywords
image denoising; image enhancement; image resolution; smart phones; dark noise; high resolution images; intensity enhancement techniques; low illumination images; mobile device; multiframe low illumination noise removal; multiple frame based noise removal technique; near-real time performance; smartphone; splotches; Brightness; Discrete wavelet transforms; Filtering; Noise; Noise reduction; Performance evaluation; Discrete Wavelet Transform; Image Registration; Low Light Noise Removal; Multi-frame Imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2013 Annual IEEE
Conference_Location
Mumbai
Print_ISBN
978-1-4799-2274-1
Type
conf
DOI
10.1109/INDCON.2013.6726042
Filename
6726042
Link To Document