IEEE Trans Image Process - Scalable coding of encrypted images.

Tópicos

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{ studi(1410) differ(1259) use(1210) }
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{ patient(2837) hospit(1953) medic(668) }
{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
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{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
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{ sampl(1606) size(1419) use(1276) }
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{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ cancer(2502) breast(956) screen(824) }
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{ survey(1388) particip(1329) question(1065) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

This paper proposes a novel scheme of scalable coding for encrypted images. In the encryption phase, the original pixel values are masked by a modulo-256 addition with pseudorandom numbers that are derived from a secret key. After decomposing the encrypted data into a downsampled subimage and several data sets with a multiple-resolution construction, an encoder quantizes the subimage and the Hadamard coefficients of each data set to reduce the data amount. Then, the data of quantized subimage and coefficients are regarded as a set of bitstreams. At the receiver side, while a subimage is decrypted to provide the rough information of the original content, the quantized coefficients can be used to reconstruct the detailed content with an iteratively updating procedure. Because of the hierarchical coding mechanism, the principal original content with higher resolution can be reconstructed when more bitstreams are received.

Resumo Limpo

paper propos novel scheme scalabl code encrypt imag encrypt phase origin pixel valu mask modulo addit pseudorandom number deriv secret key decompos encrypt data downsampl subimag sever data set multipleresolut construct encod quantiz subimag hadamard coeffici data set reduc data amount data quantiz subimag coeffici regard set bitstream receiv side subimag decrypt provid rough inform origin content quantiz coeffici can use reconstruct detail content iter updat procedur hierarch code mechan princip origin content higher resolut can reconstruct bitstream receiv

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