IEEE Trans Image Process - Monotonic regression: a new way for correlating subjective and objective ratings in image quality research.

Tópicos

{ model(2341) predict(2261) use(1141) }
{ assess(1506) score(1403) qualiti(1306) }
{ method(2212) result(1239) propos(1039) }
{ perform(999) metric(946) measur(919) }
{ perform(1367) use(1326) method(1137) }
{ sampl(1606) size(1419) use(1276) }
{ use(2086) technolog(871) perceiv(783) }
{ can(774) often(719) complex(702) }
{ imag(1947) propos(1133) code(1026) }
{ method(1219) similar(1157) match(930) }
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{ clinic(1479) use(1117) guidelin(835) }
{ data(1714) softwar(1251) tool(1186) }
{ model(2220) cell(1177) simul(1124) }
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{ model(3480) simul(1196) paramet(876) }
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{ take(945) account(800) differ(722) }
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{ motion(1329) object(1292) video(1091) }
{ treatment(1704) effect(941) patient(846) }
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{ chang(1828) time(1643) increas(1301) }
{ concept(1167) ontolog(924) domain(897) }
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{ extract(1171) text(1153) clinic(932) }
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{ care(1570) inform(1187) nurs(1089) }
{ general(901) number(790) one(736) }
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{ featur(1941) imag(1645) propos(1176) }
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{ model(2656) set(1616) predict(1553) }
{ data(2317) use(1299) case(1017) }
{ age(1611) year(1155) adult(843) }
{ medic(1828) order(1363) alert(1069) }
{ cost(1906) reduc(1198) effect(832) }
{ 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) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ cancer(2502) breast(956) screen(824) }
{ use(976) code(926) identifi(902) }
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{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
{ activ(1452) weight(1219) physic(1104) }
{ method(1969) cluster(1462) data(1082) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

To assess the performance of image quality metrics (IQMs), some regressions, such as logistic regression and polynomial regression, are used to correlate objective ratings with subjective scores. However, some defects in optimality are shown in these regressions. In this correspondence, monotonic regression (MR) is found to be an effective correlation method in the performance assessment of IQMs. Both theoretical analysis and experimental results have proven that MR performs better than any other regression. We believe that MR could be an effective tool for performance assessment in the IQM research.

Resumo Limpo

assess perform imag qualiti metric iqm regress logist regress polynomi regress use correl object rate subject score howev defect optim shown regress correspond monoton regress mr found effect correl method perform assess iqm theoret analysi experiment result proven mr perform better regress believ mr effect tool perform assess iqm research

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