noisy image 中文意思是什麼

noisy image 解釋
干擾圖像
  • noisy : adj. （noisier; -iest）1. （人、地方等）嘈雜的，喧鬧的；（街道）熙熙攘攘的。2. （顏色、服裝）過分鮮艷的；（文體）過分華麗[渲染]的。
  • image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
  1. In many fields, such as remote sensing, nuclear medical, computer tomography, geophysical prospecting, groundwater hydrology, global ocean modeling, image processing, tumor detection, nondestructive detection, the objective of applied sciences and engineering is the recovery of the original signal given a collection of noisy observations of the original signal ; we call these problems inverse problem

    在遙感技術、核醫療技術、計算機斷層掃描（ ct ）技術、地質勘探、地下水文學、電磁輻射、圖像恢復和重構、腫瘤檢測、非破壞性檢測等科學研究和工程實踐中，經常需要根據一組觀測到的數據來估計目標的真實信號，而觀測到的數據往往是真實信號經模糊、失真和加噪等過程后所得的輸出信號，通常稱這類問題為逆問題。
  2. The behavior of image histograms under different rates of salt - pepper noises is illustrated and the relationship between histograms of the original image and its noisy versions is analysed so as to deduce an estimated histogram for the original image from noisy ones

    摘要圖示了椒鹽噪聲下圖像直方圖的行為，分析了原始圖像直方圖同噪聲圖像直方圖之間的關系，以便由噪聲圖像的直方圖導出原始圖像的直方圖。
  3. The conventional methods of edge detection have good effect on clear image, but are sensitive to noise. though mallat used multiresolution wavelet to detect edge of noisy images, it was not effective for much noisy image

    傳統的檢測方法對清晰圖像的邊緣檢測效果很好，但對噪聲相對敏感，盡管mallat用多尺度小波變換來壓制噪聲，可是對于有大量噪聲的圖像，邊緣檢測效果並不好。
  4. First, we analysis the general theoretical model of video segmentation. secondly, based on the model, an automatic detection algorithm of motion - changed regions is proposed from the point of fuzzy entropy clustering. motion - changed regions are detected, using a fuzzy clustering rule to distinguish between the relative noisy and motion - changed regions in time - differenced image

    論文首先討論了時差分視頻分割的一般理論模型，然後在建立的視頻分割模型的基礎上，從模糊熵聚類的角度出發提出了一種視頻運動變化區域自動檢測的方法，通過建立的模糊分類準則在差分圖像中對運動變化區域和相對噪聲區域進行劃分，從而得到運動變化區域。
  5. Preprocessing of smoothing often brings about blurred image. in this paper, we add linear masks to the minutia preserving smoot - hing algorithm which based on solving a nonlinear diffusion equation. compared with other existing methods, this improved algorithm has better performance preprocessing of noisy images

    一般的平滑演算法往往因過度平滑使得圖像細節特徵模糊，針對這一情況，在傳統的基於偏微分方程的演算法中，加入對大麴率邊界點進行線性模板匹配的改進，對比現存的保邊界平滑演算法，實驗結果表明，改進的演算法優于其他演算法。
  6. New york, april26 - 27, 1999, pp. 812 - 816. 3 wang y, orchard m t, reibman a r. multiple description image codingfor noisy channels by pairing transform coefficients. in

    在多描述編碼中，編碼器對同一信號源產生具有同等重要性的兩個或多個碼流稱為描述，以使這些描述同時遭遇傳輸失效的幾率降到極小。
  7. To deblur edges after image magnification, an edge sharpness presering noisy image magnification simultaneously denoising effectiely is put forward, which adopts the idea of total ariation model, after haing reiewing the character of a typical edge

    針對圖像放大后出現邊緣模糊的現象，該文考察了典型邊緣的特徵，利用整體變分思想，提出了一種基於變分模型的有噪圖像放大演算法。
  8. Some image processing operations, like sharpening, make quality of noisy images even worse

    處理操作的一些圖像，喜歡尖銳，用吵雜圖像做成質量平滑的更壞事。
  9. This dissertation suggests scheme of image denoising based on two - dimensional discrete wavelet transform. the denoising algorithm is described with some operators. by thresholding the wavelet transform coefficients - of noisy images, the original image can be reconstructed correctly

    通過對小波變換系數進行閾值處理，給出了一種基於二維離散小波變換的圖像去噪方法並用運算元的形式加以描述。
  10. Because the police fingerprint database is very large and the fingerprint image is often noisy, we paid more efforts on extraction of singular point from the noisy image and improve the fingerprint classification speed. we have obtained some result in the following research areas : 1 ) fingerprint extraction. we extract fingerprint image by two steps : coarse extraction and fine extraction

    針對公安指紋數據庫樣本數量多（一般都在萬枚以上） ，指紋圖象質量相對比較差的特點，我們把研究重點放在從差質量的指紋圖中準確可靠地提取奇異點特徵以及提高分類速度上，並在以下幾個方面取得了一定的研究成果： 1 ）指紋分割。
  11. According to the style of image decomposition, sbnc maybe classified into two kinds : sliced orthogonal nonlinear generalized correlation ( song correlation ) based on sliced orthogonal nonlinear generalized decompositionand morphological correlation ( mc ) based on threshold decomposition. comparedwith common linear correlation ( lc ), the output performances of sbnc are far bet - ter in either discrimination or noisy robustness

    根據圖像分解方式的不同， snbc分為兩類:基於片狀正交非線性廣義分解的片狀正交非線性廣義相關器（ slicedorthogonalnonlineargeneralizedcorrelation ，簡稱song相關器）和基於閾值分解的形態相關器（ morphologicalcorrelation ，簡稱mc ） 。
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