lossless image compression 中文意思是什麼

lossless image compression 解釋
無失真圖像壓縮 可以允許完全重構原圖像的任何圖像壓縮技術。

  • lossless : 無損的
  • 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...
  • compression : n. 1. 壓縮；壓緊；濃縮，緊縮。2. 加壓；壓抑。3. （表現的）簡練。4. 應壓試驗。
  1. Experimental results show that the model achieves higher lossless compression rate of image than lossless spiht and lossless ebcot used in jpeg2000

    實驗結果表明，利用這種模型獲得的平均無損壓縮比高於spiht和用於jpeg2000的ebcot 。
  2. It can perform both lossy and lossless compression, and progressive codec, by providing high compression rate and image reconstruction quality

    在研究嵌入式零樹小波編碼演算法及原理的基礎上，描述了演算法的應用過程，闡述了具體的實現思路。
  3. By using storage space with an given ip address and lossless image compression method, a teleimage reading system is realized sucessfully, especially the linkage of different imaing equipment with our system and the technique of downloading and uploading

    最終提出了採用固定ip地址中間存儲空間和恰當無損壓縮以建立院間pacs系統的工作思路，進行利用ftp和公眾網（ adsl ）技術實現了遠程圖片讀片系統。
  4. Application of two dimension lifting scheme based on invertible biorthogonal wavelet transform in progressively lossless image compression

    基於二維提升方案的可逆雙正交小波變換在漸進性無損圖像壓縮中的應用
  5. Lossless compression algorithm for medical image based on integer wavelet transform and dpcm

    與整數小波變換結合的醫學圖像無損壓縮演算法
  6. Research on image lossless compression method based on adaptive bit - level arithmetic coding

    基於二值自適應算術編碼的圖像無損壓縮演算法研究
  7. In the paper, chapter 1 gives a comprehensive introduction of digital image compressing including its recent status, technical standards, classification in the world. chapter 2 introduces briefly the thought and ii procedure of vector quantization, describes lgb algorithm and vector quantization based on sofm neural network. chapter 3 discusses predictable coding in lossy and lossless aspects, analyzes adaptive predictable coding based on bp neural network, introduces the evaluation of algorithm on neural network in image compression. chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related, analyzes the strategies of image coding in transformed domain. in chapter 5 images are decomposed and represented by wavelet transform, then discusses the characteristics and effects of wavelet functions in image compression, analyzes the wavelet coefficients after images are decomposed ; based on the theories and analyses in the prior chapters, the paper presents an image compression scheme and gives results. the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy, so that, it can require satisfactory results of image compression

    方案首先利用小波多分辨分析性質，對圖像進行小波分解，對分解后各子圖的小波系數進行了統計分析，針對各子圖的小波系數特點，對不同的子圖分別採用不同的壓縮方法，低頻子圖採用基於神經網路的自適應預測編碼，高頻子圖採用基於神經網路的矢量量化編碼，從而實現對圖像數據的壓縮處理。本論文第一章介紹了數字圖像壓縮處理的國內外當前的概況以及其技術標準和分類。在第二章，介紹了數字圖像的矢量量化技術的數學思想和過程，對lbg演算法和基於sofm神經網路的矢量量化進行了闡述、分析。
  8. This paper discusses second - generation wavelets based on lifting scheme used in lossless image compression and the software implementation

    本文討論基於提升方案的「第二代小波」應用與圖像無損壓縮，並用軟體編程具體實現。
  9. So, the integer wavelet transform is very important in such scenarios as lossless image compression, satellite image transmission, and so on. based on the integer wavelet transform, this article has studied 5 / 3 wavelet transform, and proposed a dedicated architecture to realize it. this architecture includes four parallel modules for computing, which use pipeline technology

    本文以整數小波變換為研究對象，重點在二維整數5 / 3小波變換的基礎上設計了一種并行結構，該結構將二維變換分為四個運算模塊，這四個模塊并行運算，各模塊內部採用流水線技術。
  10. We study the context modeling in lossless image compression

    研究了無損圖像壓縮中的context模型設計問題。
  11. Two kinds of filter are recommended in the jpeg2000 standard. one is the 5 / 3 filter which is used in the lossless image compression, the other is the 9 / 7 filter which is used in the lossy image compression

    Jpeg2000標準推薦採用的濾波器有兩種，一種是5 / 3濾波器，它適用於無損壓縮的情況，另一種是9 / 7濾波器，它適用於有損壓縮的情況。
  12. So lifting scheme will become a new method in lossless image compression. secondly, image data should be transmitted from loss to lossless, named progressive transmission, because different people require different image quality

    其次，由於不同用戶對同一圖像的質量要求不同，因此有必要在編解碼時，使圖像的恢復能夠根據用戶要求，做到從有損到無損的過渡，即圖像的漸近編碼。
  13. 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。
  14. 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。
  15. 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。
  16. We analysis and make comparison among several frequently adopted context models in lossless compression algorithm for image. image compression framework based on integral wavelet is proposed and implemented

    本文首先介紹了相關標準及所使用的context模型，然後對連續色調? ?即灰度和彩色圖像無損壓縮中常用的context模型進行了分析討論。
  17. Lossless still image compression using integer wavelet transform and improved spiht coding

    一種基於整數小波變換的圖像編碼演算法
  18. This paper compares the set of features offered by jpeg 2000, versus the current still - image compression and coding standards. the study concentrates on the aspects such as functions, lossy and lossless compression efficiency, region of interest coding, error resilience and complexity. as a result, a conclusion - how to choose compression and coding standard is elicited

    本文還利用包括j2k模型在內的實現，就jpeg2000與靜態圖像壓縮編碼的現有標準進行了分析和比較，對比了它們在提供的功能、有損和無損的壓縮效率、 roi編碼和差錯恢復以及復雜度等方面的異同，並得出選擇編碼壓縮標準的一個結論。
  19. In the wavelet image compression system ， the choice of wavelet basis directly determines the statistical characteristics of wavelet coefficients, thus it not only affects subsequent processes, but also affects the final compression ratio and the the quality of reconstructed image. the method of realizing wavelet transform determines computational complexity, whether the transformed data can be lossless recovered or not, etc., accordingly it can affect the time spending on compression and the quality of reconstructed image

    在小波變換圖像壓縮方法中，小波基選擇的好壞，直接決定小波系數的性質，從而影響壓縮過程中后繼的其它處理，影響最終的壓縮比和圖像重建質量；小波變換的實現方法決定著計算的復雜度、數據的恢復性能等，從而影響壓縮時間和圖像重建質量。
  20. The essay, first of all, researchs jpeg2000 and implements the kernel code of compressing dicom with jpeg2000. on the basis of it, gives an improvement, and then combines image denoising and image compression to get better lossy compression effect ; discusses several lossless compression ways of medical image sequence ; in the end, discusses or analyses many problems of compressing with jpeg2000, and tests all the methods said in the paper

    並在此基礎上給出了一種對jpeg2000的改進演算法;接著將圖像的小波降噪方法與jpeg2000相結合，以得到更好的有損壓縮效果，同時給出了一種提高壓縮比的方法;再接著討論了幾種提高醫學序列圖像無損壓縮的方法;最後討論和分析了jpeg2000在壓縮dicom時所涉及的問題;並對所提出和討論的方法進行了相關的試驗。
分享友人
分享到 Line

分享到臉書