劉光遠(yuǎn)
摘 要:該文提出了一種用于圖像處理的無(wú)偏有限沖激響應(yīng)的計(jì)算方案,該遞歸方案關(guān)注信噪比和均方根誤差。按照該思路,計(jì)算出定量評(píng)價(jià)來(lái)驗(yàn)證根據(jù)度量的遞歸計(jì)算方案的性能,用一維信號(hào)定性地評(píng)價(jià)信號(hào)處理的效果,有效的計(jì)算算法證明了良好的信號(hào)的增強(qiáng)。
關(guān)鍵詞:FIR濾波器 遞歸 信號(hào)處理
中圖分類(lèi)號(hào):TN713 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1674-098X(2016)10(a)-0088-03
A Recursive Unbiased FIR Filter Used in Image Processing
Liu Guangyuan
(Mechanical and Electrical Engineering Department,Gansu Vocational&Technical College of Nonferrous Metallurgy,Jinchang Gansu,737100,China)
Abstract:We present a new computational method for implementation of Unbiased Finite Impulse Response filter(UFIR) for image processing.The recursive method is focused on signal to noise ratio(SNR) and root mean-square-error(RMSE) on filter.We computed the quantitative evaluations to verify the performance carried out by the new recursive computational method.On the other hand, we showed the qualitative evaluations using one dimensional signals.Finally,this efficient algorithm manifests an outstanding signal enhangcing result.
Key Words:FIR filter; Recursive; Signal processing
1 介紹
基本上來(lái)說(shuō),可以利用不同種類(lèi)的估計(jì)量來(lái)設(shè)計(jì)混合FIR(有限沖激響應(yīng))結(jié)構(gòu)。在可能的解決方案中,多項(xiàng)式估計(jì)占據(jù)著特別的地位,因?yàn)槎囗?xiàng)式模型可以對(duì)不同的處理很好的形式化為先驗(yàn)知識(shí)。用UFIR(無(wú)偏有限沖激響應(yīng))濾波器來(lái)處理圖像相對(duì)容易[1],但是,當(dāng)出現(xiàn)某些定量的估計(jì)權(quán)值時(shí),估計(jì)的圖像特征不是很理想[2]。然而,遞歸方案是一種可以將計(jì)算算法用于信號(hào)處理的可行方案[3]。因此,提出了一種可以將UFIR濾波器用于圖像處理的計(jì)算方案。