DocumentCode :
2380413
Title :
Critical encoding rate in combined denoising and compression
Author :
Yea, Sehoon ; Pearlman, William A.
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
In this paper, we elaborate on denoising schemes based on lossy compression. First, we provide an alternative interpretation of the so-called Occam filter and relate it with the complexity-regularized denoising schemes in the literature. Next, we discuss about the ´critical distortion´ of a noisy source and argue that optimal denoising is achieved at the corresponding critical encoding rate rather than at the encoding rates suggested by other compression-based denoisers. Finally, we discuss the so-called ´indirect rate distortion problem´. We focus particularly on the high bit-rate encoding of noisy sources and show lossless compression of a denoised source is often very wasteful of bits, and suggest a simple way of determining an appropriate bit-rate for compressing a denoised source economically while retaining its initial denoised quality.
Keywords :
data compression; filtering theory; image coding; image denoising; Occam filter; complexity-regularized denoising schemes; compression-based denoisers; critical encoding rate; encoding rates; high bit-rate encoding; indirect rate distortion problem; Bit rate; Encoding; Frequency; Image coding; Low-frequency noise; Noise cancellation; Noise reduction; Power generation economics; Rate-distortion; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530398
Filename :
1530398
Link To Document :
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