Elimination of Marine Snow effect from underwater image - An adaptive probabilistic approach

Author

Banerjee, Soma ; Sanyal, Gautam ; Ghosh, Shatadal ; Ray, Ranjit ; Shome, Sankar Nath

Author_Institution

Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Durgapur, India

fYear

2014

fDate

1-2 March 2014

Firstpage

1

Lastpage

4

Abstract

Along with color loss, another severe problem of underwater optical imaging is Marine Snow effect which occurs because of back scattering from suspended organic detritus, solid particles or bubbles. Their appearance like tiny sparkling dots often reduces the scene perception and sometimes leads to spurious features on segmentation. This paper is concerned with removal of the marine snow effect from underwater images by a probabilistic approach considering the local statistics of luminance properties after a RGB to YCbCr transform.

Keywords

backscatter; brightness; image colour analysis; image segmentation; optical images; probability; snow; transforms; RGB transform; YCbCr transform; adaptive probabilistic approach; back scattering; bubbles; color loss; local statistics; luminance property; marine snow effect; scene perception; segmentation; solid particles; suspended organic detritus; underwater images; underwater optical imaging; Filtering; Filtering algorithms; PSNR; Probabilistic logic; Probability; Snow; Standards; Marine Snow effect; local statistics; luminance;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on

Conference_Location

Bhopal

Print_ISBN

978-1-4799-2525-4

Type

conf

DOI

10.1109/SCEECS.2014.6804438

Filename

6804438