CAJ | 학술논문

利用在亚像素搜索区域内误差匹配函数以单峰曲面分布的特点，提出了一种改进的亚像素的快速搜索算法。根据整像素搜索的结果建立5点的误差曲面模型，估计1／2像素最佳点的位置，并确定1／2像素点搜索范围和搜索模板；再根据1／2像素搜索结果确定1／4像素点的搜索方式，完成亚像素搜索。实验表明，算法在峰值信噪比平均下降0．043 dB的条件下，减少了亚像素搜索部分近60％的计算量，在保证重建图像的主观质量和客观质量的同时，提高了编码效率。
이용재아상소수색구역내오차필배함수이단봉곡면분포적특점，제출료일충개진적아상소적쾌속수색산법。근거정상소수색적결과건립5점적오차곡면모형，고계1／2상소최가점적위치，병학정1／2상소점수색범위화수색모판；재근거1／2상소수색결과학정1／4상소점적수색방식，완성아상소수색。실험표명，산법재봉치신조비평균하강0．043 dB적조건하，감소료아상소수색부분근60％적계산량，재보증중건도상적주관질량화객관질량적동시，제고료편마효솔。
An improved fast sub-pixel search algorithm is proposed based on the characteristic of the matc-hing error function with the single peak error surface.Firstly,a best half-pixel position is approximated by a five point error surface model based on the results of the integer-pixel motion estimation,and then the search range and search template are determined for the half-pixel.Secondly,a search method of the quarter-pixel is selected according to the half-pixel search results to complete the sub-pixel search.The experimental results show that the proposed algorithm can reduce nearly 60%of the calculation in the sub-pixel search with averagely a 0.043 dB decrease of peak signal to noise ratio,which improves the coding efficiency while guaranteeing the subjective and objective quality of the reconstructed image.