However, since they use general priors for all kinds of noisy images, without considering the content of the noisy image, they soon reach their performance limitation (comparable to BM3D) and tend to introduce artifacts if the noisy image doesn’t satisfy the assumed priors. Different them, we propose adaptively changing the external dataset for each noisy image by using content based image retri technologies.

Turbo_ECC\iseconfig\turbo_decoder_802_3an.xreport
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.........\turbo_decoder.v
.........\turbo_decoder_802_3an.cmd_log
.........\turbo_decoder_802_3an.lso
.........\turbo_decoder_802_3an.ngc
.........\turbo_decoder_802_3an.ngr
.........\turbo_decoder_802_3an.prj
.........\turbo_decoder_802_3an.stx
.........\turbo_decoder_802_3an.syr
.........\turbo_decoder_802_3an.xst
.........\turbo_decoder_802_3an_envsettings.html
.........\turbo_decoder_802_3an_summary.html
.........\turbo_decoder_802_3an_xst.xrpt
.........\Turbo_ECC.gise
.........\Turbo_ECC.xise
.........\turbo_encoder.v
.........\turbo_testbench.v
.........\webtalk_pn.xml
.........\xst\work\work.sdbl
.........\...\....\work.sdbx
.........\_xmsgs\pn_parser.xmsgs
.........\......\xst.xmsgs
.........\xst\dump.xst\turbo_decoder_802_3an.prj
.........\...\dump.xst
.........\...\projnav.tmp
.........\...\work
.........\iseconfig
.........\xst
.........\_xmsgs
Turbo_ECC

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