基于低復雜度自適應幀的WVSN視頻編碼方法
《中國測試》雜志
吳國光， 劉桂雄， 周松斌
（華南理工大學機械與汽車工程學院，廣東 廣州 510640）
摘 要：針對WVSN視頻節點資源受限與視頻編碼方法復雜度高等問題，提出一種基于低復雜度自適應幀的視頻編碼方法。由“隔塊-對角線”差異值計算方法求得差異值，建立自適應幀傳輸機制，避免逐幀判斷，減少計算量。幀內圖像采用多邊形DCT裁剪JPEG壓縮，減少二維DCT計算復雜度。實驗結果表明，該方法在保證視頻質量前提下，能有效降低視頻編碼復雜度，與無裁剪JPEG圖像壓縮相比，當前幀、差分幀JPEG壓縮DCT計算量分別減少9.4%、56.3%；與M-JPEG視頻編碼相比，平均PSNR減少3.1%情況下，平均文件大小顯著減少55.0%。
關鍵詞：無線視頻傳感器網絡；視頻編碼；低復雜度；自適應
中圖分類號：TP212.9；TN944+.4；TN941.1；TP273+.21 文獻標志碼：A 文章編號：1674-5124（2013）03-0073-06
WVSN video coding method based on low complexity self-adaptive frame
WU Guo-guang， LIU Gui-xiong， ZHOU Song-bin
（School of Mechanical and Automotive Engineering，South China University of Technology，
Guangzhou 510640，China）
Abstract: For resolving the problem of constrained resources of node in WVSN and high complexity video coding， a video coding method based on low complexity self-adaptive frame was proposed. The difference value is calculated based on "interlaced-diagonal" method， and the type mechanism of the self-adaptive frame is established to avoid judging each frame to decrease the computation complexity. And intra-frame image coding is based on polygonal DCT pruning JPEG to decrease the complexity of 2D DCT. Simulation results indicate that on the premise of video quality， the proposed method can effectively decrease the complexity of video coding. Compared to JPEG without DCT pruning， the computation amount of DCT in current-frame and difference-frame are decreased by 9.4% and 56.3% respectively. Compared to M-JPEG， the average image size decreased by 55.0% while the average PSNR decreased by 3.1%.
Key words: wireless video sensor network； video coding； low complexity； self-adaptation
