發(fā)布時(shí)間：2018-09-14 07:53

【摘要】：最新的視頻編碼標(biāo)準(zhǔn)HEVC的參考代碼通常采用rate-Lambda(R-Lambda)模型進(jìn)行碼率控制,但R-Lambda模型為I幀分配的目標(biāo)碼率過(guò)多,導(dǎo)致后續(xù)視頻幀因目標(biāo)碼率不足而重建質(zhì)量嚴(yán)重下降.為此,對(duì)R-Lambda模型進(jìn)行改進(jìn),根據(jù)圖像的運(yùn)動(dòng)趨勢(shì)和復(fù)雜度將I幀劃分為運(yùn)動(dòng)區(qū)域、紋理復(fù)雜區(qū)域、紋理平坦區(qū)域.分配目標(biāo)碼率時(shí),根據(jù)人眼視覺(jué)系統(tǒng)特性為視覺(jué)敏感區(qū)域分配更多碼率,給非視覺(jué)敏感區(qū)域分配較少碼率,最后利用R-Lambda模型計(jì)算相應(yīng)的QP值.實(shí)驗(yàn)結(jié)果表明,所提算法在保證重建視頻主觀質(zhì)量連續(xù)性的同時(shí),提高了重建視頻的整體質(zhì)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(xué)院信息科學(xué)與電氣工程學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(No.61502277) 山東省自然科學(xué)基金(No.ZR2015FL017)資助
【分類號(hào)】：TN919.81

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