無損圖像壓縮 的英文怎麼說

中文拼音 [wúsǔntúxiàngyāsuō]
無損圖像壓縮 英文
lossness image compression
  • 無 : 無Ⅰ動詞（沒有） not have; there is not; be without Ⅱ名詞1 （沒有） nothing; nil 2 （姓氏） a surn...
  • 損 : Ⅰ動詞1 （減少） decrease; lose 2 （損害） harm; damage 3 [方言] （用尖刻的話挖苦人） speak sarcas...
  • 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...
  • 壓 : 壓構詞成分。
  • 縮 : 縮構詞成分。
  • 無損 : lossless
  1. 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。
  2. 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
  3. In digital library building, lossless compression is mainly used in compressing digitalization of classical book, art of draws and calligraphies

    在數字圖書館建設中，無損圖像壓縮主要用於對數字化后古籍、歷史名字畫的壓縮。
  4. In the applications of wavelets, the vlsi design has been highly required. the coefficients in the integer wavelet transform are integer, so that the perfect reconstruction and lossless compression is possible

    整數小波變換由於其小波系數為整數，逆變換可完美恢復小波變換前的數據，因此在無損圖像壓縮等領域有著重要應用。
  5. An image compression algorithm based on integer wavelet transform

    基於整數小波變換的圖像無損壓縮方法
  6. Lossless compression of still images based on fuzzy - combination prediction

    基於模糊混合預測的靜態圖像無損壓縮
  7. Analysis and improvement of timing control system of magnetic flux compression generator

    基於多預測器的高光譜圖像無損壓縮
  8. An inquirt into image compression and coding technique and the method non - loss compression

    圖像壓縮編碼技術及無損壓縮方法的探討
  9. 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
  10. 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
  11. The image compress includes loss compress and lossless compress. the dissertation mainly studies image lossless compress and its application

    =圖像壓縮分為有損壓縮和無損壓縮，本文主要研究圖像的無損壓縮及其應用。
  12. Finally, lossless compression by means of integer lifting scheme is realized. after selecting a practical bases of lifting scheme transform, we put forward to two lossy compression algorithms based on adaptive transform and demonstrate its feasibility and validity by simulation and experiment

    實現了將整數提升框架應用於無損壓縮；選擇了一個實際可行的提升變換基庫，給出了兩種基於自適應變換的有損圖像壓縮演算法，實驗模擬結果證明了演算法的可行性及有效性。
  13. Information technology - lossless and near - lossless compression of continuous - tone still images : baseline

    信息技術.連續音調靜止圖像的無損失和接近無損失壓縮.基線
  14. Information technology - lossless and near - lossless compression of continuous - tone still images - part 2 : extensions

    信息技術.連續影調靜止圖像的無損失和接近無損失壓縮.第2部分:擴充部分
  15. At last, according to the significant spectral correlation of structure within the hyperspectral images, we propose a hyperspectral image lossless compression algorithm based on classification and prediction

    最後根據高光譜圖像譜間的結構相關性，提出一種基於分類預測的高光譜圖像無損壓縮演算法。
  16. 3. tracking algorithm for curves, including the method for gray threshold combining space information, lag structure which was used to compress well - logging data during compressing and a progressive - completing method for curves tracing

    3 .曲線跟蹤演算法，包括結合空間分佈信息的大津閾值方法、基於行程編碼的圖像無損壓縮演算法和逐步完成的曲線跟蹤方法。
  17. 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。
  18. In this paper, we have done some work on lossless hyperspectral images compression as follows : first of all, we analyze the characteristic of hyperspectral images, and compare it with common images

    本文主要關注于高光譜圖像的無損壓縮，所做的工作如下:首先分析了高光譜遙感圖像的特性，將它和普通圖像進行比較。
  19. 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。
  20. 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。
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