DocumentCode
2817690
Title
Detail preserving multiple bit-depth image representation and coding
Author
Jinno, Takao ; Okuda, Masahiro ; Adami, Nicola
Author_Institution
Fac. of Environ. Eng., Univ. of Kitakyushu, Kitakyushu, Japan
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1533
Lastpage
1536
Abstract
Recent trends in high bit depth representation of images, including high dynamic range images, increases demand for multiple bit depth representation. When reducing the bit depth, detailed variations in the original image are lost through quantization. We propose a scheme for quantization using the bilateral based detail preservation. Our approach has an ability to precisely restore the original bit depth from the quantized image. We apply the multiple bit-depth representation for the image coding and show the validity of our method. We demonstrate the effectiveness of our approach through some experiences.
Keywords
image coding; image representation; quantisation (signal); bilateral based detail preservation; high bit depth image representation; high dynamic range image; image coding; multiple bit depth representation; quantization; quantized image; Bit rate; Conferences; Dynamic range; Image coding; Image restoration; Quantization; Signal to noise ratio; Bilateral filter; Image Coding; Multiple bit depth representation;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115737
Filename
6115737
Link To Document