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 :
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