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Article #6Re: Compression versus Bit Rate Reduction?
From: Mark Adler
Date: Fri, 30 Oct 1992 19:03
Date: Fri, 30 Oct 1992 19:03
26 lines
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1787 bytes
>> Especially when speaking verbally, when "sink" and "synch" >> (as in synchronization) can become confused. Hmm. Good point. >> The problem with using "source" and "sink" is that they are used >> in many other ways, and can quickly confuse the issue. Actually, it is the use of "source coding" in telecommunications that inspired my terms, and it is consistent with that usage (as I understand it). However, "redundancy coding" and "relevancy coding", while longer, are probably ok. I'm not sure though that "redundancy" captures all that encompasses lossless coding. Though it could be argued that entropy coding is redundancy coding, I tend to separate redundancy coding from entropy coding. In my mind, you first find and identify the redundancy using some model, and then you generically code the output of that using entropy coding of some sort. Anyway, yes, it is all just semantics. However, it can be important to clarify the concepts for newcomers to the field. Especially if they are looking as something like JPEG where the source and sink ..., excuse me, redundancy and relevancy coding are inextricably intertwined, but fundamentally different. mark
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Path: arc1-ca.pugleaf.net!sparky!uunet!think.com!ames!elroy.jpl.nasa.gov!nntp-server.caltech.edu!madler From: madler@cco.caltech.edu (Mark Adler) Newsgroups: comp.compression.research Subject: Re: Compression versus Bit Rate Reduction? Date: 30 Oct 1992 19:03:32 GMT Organization: California Institute of Technology, Pasadena Lines: 26 Message-ID: <1cs0u4INNivr@gap.caltech.edu> References: <BwuMs2.EnA@usenet.ucs.indiana.edu> <1cnjneINN7pr@gap.caltech.edu> <1992Oct30.163614.6523@kodak.kodak.com> NNTP-Posting-Host: sandman.caltech.edu Keywords: redundancy,relevancy,lossless,lossy