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基于自然統(tǒng)計(jì)特征分布的無(wú)參考圖像質(zhì)量評(píng)價(jià)

陳勇 帥鋒 樊強(qiáng)

陳勇, 帥鋒, 樊強(qiáng). 基于自然統(tǒng)計(jì)特征分布的無(wú)參考圖像質(zhì)量評(píng)價(jià)[J]. 電子與信息學(xué)報(bào), 2016, 38(7): 1645-1653. doi: 10.11999/JEIT151058
引用本文: 陳勇, 帥鋒, 樊強(qiáng). 基于自然統(tǒng)計(jì)特征分布的無(wú)參考圖像質(zhì)量評(píng)價(jià)[J]. 電子與信息學(xué)報(bào), 2016, 38(7): 1645-1653. doi: 10.11999/JEIT151058
CHEN Yong, SHUAI Feng, FAN Qiang. A No-reference Image Quality Assessment Based on Distribution Characteristics of Natural Statistics[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1645-1653. doi: 10.11999/JEIT151058
Citation: CHEN Yong, SHUAI Feng, FAN Qiang. A No-reference Image Quality Assessment Based on Distribution Characteristics of Natural Statistics[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1645-1653. doi: 10.11999/JEIT151058

基于自然統(tǒng)計(jì)特征分布的無(wú)參考圖像質(zhì)量評(píng)價(jià)

doi: 10.11999/JEIT151058
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(60975008),重慶市教委科學(xué)技術(shù)研究項(xiàng)目(KJ1400434)

A No-reference Image Quality Assessment Based on Distribution Characteristics of Natural Statistics

Funds: 

The National Natural Science Foundation of China (60975008), Science and Technology Research Project of Chongqing Education Committee (KJ1400434)

  • 摘要: 針對(duì)目前的無(wú)參考評(píng)價(jià)方法無(wú)法準(zhǔn)確反映人類(lèi)對(duì)圖像質(zhì)量的視覺(jué)感知效果,該文提出一種基于自然統(tǒng)計(jì)特征分布(DIstribution Characteristics of Natural, DICN)的無(wú)參考圖像質(zhì)量評(píng)價(jià)方法。其原理是用小波變換將圖像分解為低頻子帶和高頻子帶部分,再將高頻子帶部分分成 的小塊,提取每一子塊的幅值和信息熵,并分別計(jì)算其分布直方圖均值和斜度作為特征,利用支持向量回歸思想對(duì)特征進(jìn)行訓(xùn)練,建立5種不同失真類(lèi)型的質(zhì)量預(yù)測(cè)模型。在此基礎(chǔ)上,采用支持向量機(jī)針對(duì)圖像特征構(gòu)造分類(lèi)器并進(jìn)行失真判斷以確定不同失真的權(quán)重,結(jié)合5種失真評(píng)價(jià)模型可得到自然統(tǒng)計(jì)特征分布的無(wú)參考評(píng)價(jià)模型。實(shí)驗(yàn)結(jié)果分析表明,該算法的評(píng)價(jià)效果優(yōu)于現(xiàn)有的經(jīng)典算法,與主觀評(píng)價(jià)具有較好一致性,能夠準(zhǔn)確反映人類(lèi)對(duì)圖像質(zhì)量的視覺(jué)感知效果。
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出版歷程
  • 收稿日期:  2015-09-14
  • 修回日期:  2016-01-20
  • 刊出日期:  2016-07-19

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