IEEE Trans Image Process - Segment adaptive gradient angle interpolation.

Tópicos

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{ method(984) reconstruct(947) comput(926) }
{ structur(1116) can(940) graph(676) }
{ method(2212) result(1239) propos(1039) }
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{ research(1218) medic(880) student(794) }
{ patient(2837) hospit(1953) medic(668) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ signal(2180) analysi(812) frequenc(800) }
{ group(2977) signific(1463) compar(1072) }
{ gene(2352) biolog(1181) express(1162) }
{ data(3008) multipl(1320) sourc(1022) }
{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
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{ high(1669) rate(1365) level(1280) }
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Resumo

We introduce a new edge-directed interpolator based on locally defined, straight line approximations of image isophotes. Spatial derivatives of image intensity are used to describe the principal behavior of pixel-intersecting isophotes in terms of their slopes. The slopes are determined by inverting a tridiagonal matrix and are forced to vary linearly from pixel-to-pixel within segments. Image resizing is performed by interpolating along the approximated isophotes. The proposed method can accommodate arbitrary scaling factors, provides state-of-the-art results in terms of PSNR as well as other quantitative visual quality metrics, and has the advantage of reduced computational complexity that is directly proportional to the number of pixels.

Resumo Limpo

introduc new edgedirect interpol base local defin straight line approxim imag isophot spatial deriv imag intens use describ princip behavior pixelintersect isophot term slope slope determin invert tridiagon matrix forc vari linear pixeltopixel within segment imag resiz perform interpol along approxim isophot propos method can accommod arbitrari scale factor provid stateoftheart result term psnr well quantit visual qualiti metric advantag reduc comput complex direct proport number pixel

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