CAJ | 학술논문

　　利用自然图像信号的分段统计稳态性可以有效地对图像信号进行建模。其分段统计稳态区域往往具有非规则的形态。采用规则窗口对图像统计稳态区域内的统计量进行估计存在较大的误差。提出一种基于概率描述的隐式分段自回归模型来刻画分段统计稳态区域形态，并基于该模型提出了一种改进的图像插值算法。实验结果表明，该方法可以较好地改善插值图像中在边缘处的模糊、振铃和噪声等瑕疵现象。
　　이용자연도상신호적분단통계은태성가이유효지대도상신호진행건모。기분단통계은태구역왕왕구유비규칙적형태。채용규칙창구대도상통계은태구역내적통계량진행고계존재교대적오차。제출일충기우개솔묘술적은식분단자회귀모형래각화분단통계은태구역형태，병기우해모형제출료일충개진적도상삽치산법。실험결과표명，해방법가이교호지개선삽치도상중재변연처적모호、진령화조성등하자현상。
The piecewise statistical stationary property of natural image signals provides an effective way to model the image signals. However, the statistical stationary region always has an irregular profile. Large mismatch errors rise when a regular shape window is adopted to estimate the statistics in these regions. This paper proposes an implicit piecewise autoregressive model based on a probabilistic description of the statistical stationary region. According to this model, an improved image interpolation algorithm is presented. The experimental results show that the proposed interpolation method can greatly alleviate the blurring, ringing, and noisy artifacts around edges in interpolated image.