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Compressing and companding high dynamic range images with subband architectures
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Source ACM Transactions on Graphics (TOG) archive
Volume 24 ,  Issue 3  (July 2005) table of contents
Proceedings of ACM SIGGRAPH 2005
SESSION: Image processing table of contents
Pages: 836 - 844  
Year of Publication: 2005
ISSN:0730-0301
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Authors
Yuanzhen Li  Massachusetts Institute of Technology, Cambridge, MA
Lavanya Sharan  Massachusetts Institute of Technology, Cambridge, MA
Edward H. Adelson  Massachusetts Institute of Technology, Cambridge, MA
Publisher
ACM  New York, NY, USA
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ABSTRACT

High dynamic range (HDR) imaging is an area of increasing importance, but most display devices still have limited dynamic range (LDR). Various techniques have been proposed for compressing the dynamic range while retaining important visual information. Multi-scale image processing techniques, which are widely used for many image processing tasks, have a reputation of causing halo artifacts when used for range compression. However, we demonstrate that they can work when properly implemented. We use a symmetrical analysis-synthesis filter bank, and apply local gain control to the subbands. We also show that the technique can be adapted for the related problem of "companding", in which an HDR image is converted to an LDR image, and later expanded back to high dynamic range.


REFERENCES

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CITED BY  20

Collaborative Colleagues:
Yuanzhen Li: colleagues
Lavanya Sharan: colleagues
Edward H. Adelson: colleagues