數碼圖像變換 的英文怎麼說

中文拼音 [shǔmǎtúxiàngbiànhuàn]
數碼圖像變換 英文
digital to image conversion
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 碼 : Ⅰ名詞（表示數目的符號或用具） a sign or object indicating number; code Ⅱ量詞1 （指一件事或一類的...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 像 : Ⅰ名詞1 （比照人物製成的形象） likeness （of sb ）; portrait; picture 2 [物理學] image Ⅱ動詞1 （在...
  • 換 : 動詞1. （給人東西同時從他那裡取得別的東西） exchange; barter; trade 2. （變換; 更換） change 3. （兌換） exchange; cash
  • 數碼 : numerical code; digit; figure
  1. " l ' lle brief introduction of underwater acoustic channel and the cl1art of image transmission syste111, innovation of ti1is paper are given in the first chapter. basic technology and hardware using in this project are introduced in the seco11d chaptel transform methods, especially the wavelet transformation are introdtlced il1 the tl1ird cllapter. ii11age ' s coding methods are introduced in cl1apter four, witll tilem ti1e zero tree method is the el11pl1ases

    第一章給出對水聲通道特性簡介以及圖像信息傳輸的系統框圖、本研究創新之處；第二章介紹圖像處理的基本技術以及本研究的硬體環境；第三章介紹圖像數據的變換方法，著重介紹了小波變換涉及到的知識；第四章介紹圖像編碼，重點介紹了零樹法編解碼；第五章介紹本研究的軟體、硬體設計、對零樹法的具體改變。
  2. The dissertation combine the theory, with using integers dct transform to realize grey image lossless compress with the method of reversible color space integers transform and reversible integers dpcm prediction to realize lossless compress from grey image to color image with huffman coding method via visual c + + program

    本文借鑒整數dct變換實現灰度圖像無損壓縮的理論研究成果，將其與可逆的顏色空間整數變換和可逆的整數dpcm預測相結合，採用哈夫曼編碼方法，用vc編程實現了從灰度圖像到彩色圖像的無損壓縮。
  3. To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis

    為了逐一解決這些困難，運用了色彩空間變換以及bp神經元網路的方法對圖像進行分類和閾值處理，利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙連接、鏈碼、種子填充、邊界擬合等處理。
  4. 3. brings forward a watermark method based on fractal theoretics this paper has a novelty that joins the fractal technology, dct and dwt transform, watermark technology together. fractal technology has strong vitality on the image encoding. dct and dwt transforms have broad applications on the image process. so this paper introduces fractal technology into watermark technology, brings forward fractal watermark technology in dct and dwt domain and tests the fractal watermark technology by many tests. fractal technology is a new thought and solved scheme without doubt

    3 .提出了基於分形理論的數字水印方法將分形技術、 dct和dwt變換技術、水印技術有機地結合起來是本文的一大創新，分形技術在圖像編碼方面具有強大的生命力， dct和dwt變換技術在圖像處理方面有著廣泛的應用，因此本文將分形變換技術引入到數字水印技術中來，分別在dct域和小波域內提出了分形水印技術，並且通過大量的實驗證實了分形水印技術的可行性，這無疑是一種新的思想和解決方案。
  5. Then it is possible to realize high compression ratio of images. in this paper the principle of which wavelet transform can be used in images compression is discussed on basis of statistics and analysis of image ' s wavelet coefficients after wavelet decomposition. also some kinds of quantify and coding schemes are discussed including scalar quantization, vector quantization, embedded zerotree wavelets encodings run length coding, huffman coding and so on

    論文對圖像經分解后的小波系數進行統計與分析，闡述了小波變換所以能夠用於圖像壓縮的道理，並在此基礎上討論了多種量化和編碼方案的設計與實現，包括標量量化、矢量量化、嵌入小波零樹編碼、行程編碼、哈夫曼編碼等，其中對jpeg2000採用的標量量化和嵌入小波零樹編碼作了重點討論和分析。
  6. Study of scalable wavelet zerotree video compression coding

    基於整數小波變換和零樹編碼的監控圖像壓縮
  7. Finally, the paper introduces the software and hardware implementation of h. 264 coding system as well as the optimizing of transform part. video collection and pretreatment module includes the functions of video frame collection, frame format convert and video data storage. the optimizing of transform program is according to the optimize principles and the characteristics of blackfin533

    視頻採集及預處理模塊實現圖像的採集、圖像格式的轉換及預存儲; h . 264編碼模塊的實現與優化部分介紹h . 264編碼的dsp實現，並對整數變換的原理進行分析，根據優化原則並結合blackfin533的特點，實現整數變換程序的優化。
  8. At present the fractal based applications in image domain are approximately classified into two categories : according to the characteristic of self - similar of fractal, people imitate and compress the natural image using mapping transformation method. this is one category. the other is according to the features of fractal and fractal dimension, people set up image models, investigate the main geometric features of the images and process them effectively

    目前分形在圖像中的應用大致可以概括為兩類：一類是利用分形的自相似特性，採用映射變換的方法對自然界景物進行模擬，對圖像進行壓縮編碼；另一類是根據分形及分數維的特徵參量來建立模型，通過對模型參數的研究，有效地進行圖像分析和處理。
  9. In the thesis, the knowledge and principle on magnetic particle testing, digital image and image restoration are introduced first. according to demand of the system, the wiener filter restoration based on parameter identification is proposed and analyzed by the matlab experiment, the specification of evaluating effect of image restoration is presented according to out - of - focus radius as well. programming by visual c + + 6. 0, jpeg image files are decoded and converted into bmp files, colorful image is converted into gray image and out - of - focus micro - crack image is restored

    本文首先介紹了磁粉探傷、數字圖像及圖像復原的相關知識和基本原理；根據自動磁粉探傷系統應用的要求，給出了一種基於參數辨識wiener濾波圖像復原方法，並進行matlab實驗分析，提出一種基於散焦半徑的復原效果的評判標準；採用vc + + 6 . 0編程，實現jpeg解碼並轉換成bmp文件格式，然後變換為灰度圖像，再對散焦微裂紋圖像進行復原處理。
  10. Discrete cosine transform ( dct ) is one of common transform encoding technique in common use of image compression. because such advantages as relatively matured theory, arithmetic and hardware ; ease to move relativity ; fit human vision system ; less calculation ( not include plural calculation ) : ease to realize and so on, dct compression is widely used

    離散餘弦變換（ dct ）是圖像壓縮中經常用到的正交變換編碼技術，由於理論、演算法和硬體相對成熟，去相關性好，適應人眼的視覺特性，計算量不大（沒有復數計算） ，易於實現等優點， dct壓縮編碼的應用非常廣泛。
  11. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  12. Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients, this dissertation fully exploits the following theories and methods : scalar quantization, vector quantization, trellis coded quantization, trellis coded vector quantization, vector classification, codebook expansion and weighted mean square error rule basing mankind visual characteristics, etc. from different angles of information amalgamation, it develops several innovative algorithms of image compression and coding, gives their realization schemes, and makes plentiful simulation tests

    本文在分析了圖像小波變換的原理和子帶系數空間及頻率分佈特點的基礎上，充分利用標量量化、矢量量化、網格編碼量化、網格編碼矢量量化、矢量分類、碼書擴展和基於人眼視覺特性的加權均方誤差準則等思想和方法，從信息融合的不同角度展開了對小波圖像的壓縮編碼研究，同時也討論了這些方法在靜止圖像量化中的具體應用。
  13. My principal work is these : transforming image in wavelet at first, then encoding wavelet coefficients in sofm arithmetic methodology, lbg arithmetic methodology, dpcm encoding step by step, wavelet zero tree compression separately, reconstructing the image at last, so researching how to improve compression ratio, hi addition, the article puts forward a new arithmetic methodology, sl arithmetic methodology, on the base of comparing sofm arithmetic methodology with lbg arithmetic methodology what it needs emphasis is the variety of reconstructed image because of the diversity of mother wavelet

    本人所做的工作主要圍繞著這樣的步驟：將圖像數據先進行小波變換，然後分別應用sofm演算法、 lbg演算法、 dpcm分步編碼、小波零樹壓縮等對圖像小波系數進行編碼，最後重構圖像。 akqnk44 wa從而研究如何能夠提高圖像壓縮比，並比較了各演算法在圖像壓縮中的特點。另外，根據sofm演算法、 lbg演算法在圖像壓縮中的各自特點，提出了一種新的算祛一七l演算法。
  14. Motion compensated prediction error image has significant amplitudes mainly along the boundaries of moving objects, correspondingly its wavelet coefficients contain large energy in high frequency bands. this greatly reduces the coding efficiency of ezw. it is first provided that the correspondence between the significant amplitudes area of the mcp error image and the wavelet coefficient significant map, then encode the significant map efficiently using quadtree approach, followed by bit - plane coding the significant coefficients to produce an embedded data stream. experiment result shows that compared to ezw and zte, the proposed algorithm is more efficient and has better performance

    演算法對于運動補償余量誤差幀首先進行小波變換，並選取適當的閾值，用重要圖表示大於該閾值的重要系數。根據殘差幀小波系數的統計特性，用四叉樹方法編碼重要圖，並對重要系數作位面編碼，生成嵌入式碼流。實驗表明，與ezw ， zte等演算法相比較，該演算法編碼效率高，復現圖像質量好。
  15. Firstly, with the application of both morphologic translation and human body feather analysis on binary graph, the human body contours are extracted by exploited moving information, producing perfect human face region segments ; secondly, in order to form an accurate border, the author presents an improved statistical color model, which has removed redundancy successfully ; finally, a high compression rate is achieved by way of combining wavelet transform and different chain codes

    首先利用運動信息分割出人體輪廓，並綜合運用人體的特徵與形態數學的方法成功地分離出人臉大致區域；然後採用基於改進統計彩色信息模型方法，精確分割出人臉區域，去掉了不相關的冗餘信息；最後提出了利用圖像小波變換結合差分鏈碼技術描述了人臉對象，並實現了高效的視頻壓縮。
  16. This paper mainly realize integer wavelet transform using lifting scheme, then study and compare several embedded coding arithmetic. base on analyzing the image coefficient, we propose an improved ezw ( embedded zerotree wavelets ) arithmetic. jt aimed at increasing compression ratio in lossless image compression and subjective quality in loss image compression

    本文主要利用提升演算法實現圖像的整數小波變換，然後對幾種經典的嵌入式圖像編碼演算法進行了研究和比較，在對經過小波變換的圖像系數進行統計分析后，提出一種對ezw （ embeddedzerotreewavelets ）演算法進行改進的嵌入式圖像壓縮編碼演算法。
  17. 3. lossy and lossless image compression is realized by means of integer wavelet transform, and the shortcoming of pure lossy compression with non integer ones is overcame. here the influence of different wavelet base to the effect of compression is discussed, and conclusions are obtained as follows : to the choice of wavelet base in spiht image codec, in lossless codec, integer lg5 / 3 and in lossy codec, non integer db9 / 7 wavelet base is recommended

    3 、將整數小波變換應用於圖像編碼之中，克服了非整數小波變換只能有損壓縮的缺點，實現了圖像從有損到無損的壓縮，並分析了不同小波基對壓縮性能的影響，最後得到如下結論：在spiht壓縮編碼中，有損壓縮推薦使用非整數db9 7小波變換，無損壓縮推薦使用整數lg5 3小波。
  18. Third, the quantization of wavelet coefficients based on the embedded zerotree wavelet ( ezw ) is discussed and some improvement is made to it. finally, this paper brings forward a scalable image coding method based on iwt and the improved zerotree quantization, which can realize lossless to lossy image compression, more simple computing, and higher - quality reconstructed image compared with image coding method based on traditional wavelet transform. the experimental results are satisfying

    在此基礎上，提出了一種基於整數小波變換和改進零樹量化方法的可分級圖像編碼方法，該方法可以實現圖像從完全無損到有損壓縮，與基於傳統小波變換及零樹量化的方法相比，運算簡潔，速度快，重構圖像質量高，取得了令人滿意的效果。
  19. Firstly, we introduce the development of image compression, the method of image compression, the metewand of image compression performance and the international standard of image compression. otherwise, we fully discuss and analyze the theory of wavelet transform, and study the approach of image coding through wavelet transform

    本文首先對圖像壓縮編碼的發展、圖像編碼的主要方法、圖像編碼性能的評價標準以及目前圖像編碼的國際標準進行了介紹，並對小波變換理論進行了比較全面的闡述，在此基礎上探討了小波變換實現圖像數據壓縮時的一般步驟。
  20. The integer - to - integer wavelet transform ( iwt ) based on lifting scheme and the scalable image coding are discussed. first, the general situation of still image coding is introduced

    本文主要研究了基於提升方法的整數小波變換，以及基於整數小波變換的可分級圖像編碼。
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