Ali current video coding standards such as h . 263 + employ variable length codes ( vlc ) , to achieve high compression efficiency 在現在流行的視頻編碼標準中(例如h 263 + )均使用可變長編碼( vlc )來獲得高效的壓縮比。
This will be begged that the image compression technology not only have good compression efficiency but also can handle nimbly the compression code rate 這就要求圖像壓縮技術不僅要有良好的壓縮效率,而且還可以靈活處理壓縮碼率。
Through large amount of experiments , we conclude that the video compressing program can a chieve higher compression efficiency after using the improved algorithm 因此,在本文的最后,作者對視頻壓縮算法的進一步改進策略進行了研究。
Moreover , we use prediction coding process to achieve high compression efficiency , error data still cause errors to propagate in the temporal direction 而且,由于編碼器利用幀間預測來降低數據量,導致錯誤數據又會在時間域上進行擴散。
Compared with the existing header compression scheme , rfc3095 ( rohc ) has the highest compression efficiency and the best robustness and is suitable for wireless links 在現有的頭部壓縮協議中,以rfc3095 ( rohc )壓縮效率和健壯性最高,最適合于無線鏈路的使用。
Several important factors like the bandwidth compression efficiency , isi caused by filter and the affection on system performance that arise from filtering should be considered 該方案需要考慮到濾波器的帶寬壓縮效率,濾波器引起的碼間干擾,濾波器對系統誤碼性能的影響等幾個關鍵因素。
H . 264 offers significantly better video compression efficiency than the previous itu - t standards and mpeg standards , but its computational complexity is too large for implementation H . 264的三個主要目標之一是提高編碼效率,在同樣的保真度條件下,平均碼率比現有的h . 263視頻壓縮標準低50 % 。
For really interactive 3d experience , we propose a novel color block truncation algorithm using hierarchical bit - plane prediction ( cbtc - hbpp ) to chase for random access - oriented purpose with moderate compression efficiency 由于交互式3d體驗的要求,我們提出面向隨機接入性的新型壓縮算法? ?采用層次化比特平面預測的彩色光場塊截斷壓縮。
The video coding standard - h . 264 , which achieved its final draft in 2003 , will foster the development of these industries and embody its superiority in these industries , for the superiority such as higher compression efficiency network friendly design h . 264 have H . 264視頻編碼標準所具有的更高的壓縮效率以及網絡友好的設計將促進這些產業的發展并在其中體現新標準的優勢。
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,并得出選擇編碼壓縮標準的一個結論。