【摘要】：最新的視頻編碼標準HEVC的參考代碼通常采用rate-Lambda(R-Lambda)模型進行碼率控制,但R-Lambda模型為I幀分配的目標碼率過多,導致后續(xù)視頻幀因目標碼率不足而重建質量嚴重下降.為此,對R-Lambda模型進行改進,根據圖像的運動趨勢和復雜度將I幀劃分為運動區(qū)域、紋理復雜區(qū)域、紋理平坦區(qū)域.分配目標碼率時,根據人眼視覺系統(tǒng)特性為視覺敏感區(qū)域分配更多碼率,給非視覺敏感區(qū)域分配較少碼率,最后利用R-Lambda模型計算相應的QP值.實驗結果表明,所提算法在保證重建視頻主觀質量連續(xù)性的同時,提高了重建視頻的整體質量.
[Abstract]:The reference code of the latest video coding standard HEVC usually uses the rate-Lambda (R-Lambda) model to control the rate, but the R-Lambda model allocates too many target bits to the I frame, which leads to the serious deterioration of the reconstruction quality of the subsequent video frames due to the lack of the target rate. Therefore, the R-Lambda model is improved and I frame is divided into moving region, texture complex region and texture flat region according to the motion trend and complexity of the image. When the target rate is assigned, more bits are assigned to the visual sensitive region according to the characteristics of the human visual system, and the less bit rate is assigned to the non-visual sensitive region. Finally, the corresponding QP value is calculated by using the R-Lambda model. Experimental results show that the proposed algorithm not only guarantees the continuity of subjective quality of reconstructed video, but also improves the overall quality of reconstructed video.
【作者單位】： 山東交通學院信息科學與電氣工程學院;
【基金】：國家自然科學基金(No.61502277) 山東省自然科學基金(No.ZR2015FL017)資助
【分類號】：TN919.81

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