degraded image 中文意思是什麼
degraded image
解釋
降質圖像-
The simulation results show that, image will be severely degraded by phase fluctuations at typical conditions of the ionosphere, and can be well focused after calibration
模擬結果表明，電離層引起的相位起伏對成像影響較大，校正後可得到比較滿意的結果。 -
Research of error resilience technology for video communication based on h. 263 codec major : signal and information processing data : author : meng yan signature : tutor : zhang erhu liu shichang signature : abstract the reconstructed image quality can be degraded substantially by errors during the transmitting over the communication channel, especially when the video is compressed by temporal and spatial coding ways, which leads to error propagation in frame sequence, so the error resilience procedure should be performed to improve the reconstruction quality
由於通信系統的通道不可避免的存在噪聲，傳輸數據流必然存在誤碼。對于h . 26x的視頻編碼流，由於空域和時域的壓縮方法以及熵編碼方法的應用，即使是一個比特的錯誤，常會影響一個區域的圖像不能正確解碼，同時錯誤的圖像還會擴散影響后續數幀圖像。因此有必要在標準解碼程序的基礎上，添加容錯功能。 -
Degraded image restoration using neural network
基於神經網路的降質圖像恢復 -
The image enhancement problem for degraded images with less gray levels and low contrasts
灰度等級少、對比度低的降質圖像增強問題。 -
This thesis introduces and analyses in detail the research and application of regularization in image restoration, the main contributions and creativities are listed as follows : firstly, on the basis of the regularization technique for dealing with ill - posed problems, starting from the mathematical theories about regularization, analyzing the degraded model and the ill - posed character of image restoration, this paper mainly discusses the regularized parameter and regularized item, and the solution approaches and fast algorithms are also summarized, therefore perfects the essential theories about regularization in image restoration
本文針對圖像復原中正則化方法的研究及應用進行了廣泛深入的探討與分析，主要工作和創新點如下:第一，在正則化技術解決病態問題的基礎上，從正則化方法數學理論入手，分析了圖像的退化模型和圖像復原的病態特徵，重點討論了正則化參數和正則項的選取，並總結了其求解演算法及快速實現方法，完善了正則化方法圖像復原的基本理論。 -
Elementary requirement of image enhancement is how to deal with these degraded images to meet our need
如何對這些「降質」圖像進行處理，滿足實際需要，是圖像處理的基本要求。 -
Soling this problem can deblur the atmospheric turbulence - degraded image and improe the capability of object identification which is good for late stage works such as object feature extraction and recognition
該問題的解決能夠克服大氣湍流擾動帶來的圖像降質和提高目標圖像的分辨能力，以便於后續的目標特徵提取和識別等處理。 -
The gray level maximum has not been changed in the classical fuzzy enhancement method proposed by s. k. pal, so this kind of image enhancement method is not fit for the enhancement problem of degraded images with less gray levels and low contrasts ; the fact that the value domain of membership function of gray levels is not normalization form, i. e. [ 0, 1 ], is another disadvantage of the traditional fuzzy enhancement means
但是由pal提出的經典模糊增強方法並沒有改變圖像灰度等級的上界，所以這種增強方法不適合於灰度等級少、對比度低的圖像增強問題，並且這種經典模糊增強方法的隸屬度函數值域不具有通常的規范形式，即[ 0 ， 1 ]區間。 -
The theory of fuzzy sets has been used to deal with image enhancement problems for degraded images in which the image edges are uncertain and inaccurate. for those kinds of images, to some extent, the good enhancement effect can be obtained using the fuzzy sets - based image enhancement method instead of the traditional image enhancement approaches
由於圖像中存在許多不確定性和不精確性，對于這種類型的圖像，與傳統的圖像增強手段相比，基於模糊集理論的圖像增強技術在一定范圍內可以取得較好的增強效果。 -
Based on the svs characteristic analysis of image matrix, a visually recognizable binary image watermark is embedded into maximal singular value coefficient in block - based svd transform domain of the cover image. here we brought forward two primary schemes : one need original signal and the other is blind ( without the original cover ). experimental results show that our schemes can extract reliable copy of the hidden watermark from images that have been significantly degraded or altered through several common geometric distortions and signal processing operations
本文基於圖像矩陣的svd奇異值分解特性分析，提出了在新的svd變換域中進行的數字水印演算法，水印信息嵌入到分塊變換的最大奇異值分量系數中，應用混沌變換加密和空域置換，改善了空域性能，安全性高；利用圖像分塊矩陣的奇異值分解穩定性好的特點，採用圖像內容自適應方法計算水印的嵌入強度，增強了演算法的穩健性；採用二值圖像作為有意義水印進行嵌入和檢測，水印在感知上是可視的。
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