Title : 
Two layer scheme for encoding of high dynamic range images
         
        
            Author : 
Khan, Ishtiaq Rasool
         
        
            Author_Institution : 
Dept. of Brain Sci. & Eng., Kyushu Inst. of Technol., Kitakyushu
         
        
        
            fDate : 
March 31 2008-April 4 2008
         
        
        
        
            Abstract : 
With advent of high dynamic range (HDR) imaging techniques, it has been possible to capture natural scenes in larger details. HDR images are tone-mapped to lower dynamic range (LDR) versions for displaying on paper or a screen. Details lost during tone-mapping are important for certain existing and future applications, and need to be preserved. However, the size of HDR images is very large and that gives rise to need of effective encoding techniques. In this paper, we present an encoding scheme for HDR images, which significantly reduces their storage requirements, with a negligible loss of information. We model an HDR image as a piecewise linear function of its tone-mapped version. The tone-mapped image and the error in modeling are stored as LDR images, and these two along with the created model, approximate the HDR image. Comparison with the existing state of the art technique is given to show the effectiveness of our proposed scheme.
         
        
            Keywords : 
image coding; piecewise linear techniques; high dynamic range image encoding; lower dynamic range; piecewise linear function; tone mapping; two layer scheme; Digital cameras; Displays; Dynamic range; Image coding; Image processing; Image storage; Layout; Piecewise linear approximation; Piecewise linear techniques; Transform coding; HDR; High dynamic range imaging; Image coding; Image processing; Raw images;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
         
        
            Conference_Location : 
Las Vegas, NV
         
        
        
            Print_ISBN : 
978-1-4244-1483-3
         
        
            Electronic_ISBN : 
1520-6149
         
        
        
            DOI : 
10.1109/ICASSP.2008.4517823