计算机系统应用
計算機繫統應用
계산궤계통응용
APPLICATIONS OF THE COMPUTER SYSTEMS
2014年
11期
181-185
,共5页
图像复原%模糊%噪声%变分泛函数
圖像複原%模糊%譟聲%變分汎函數
도상복원%모호%조성%변분범함수
image restoration%blur%noise%variational function
针对摄影图像中常见的噪声和模糊同时退化图像的问题，提出一种Radon变换估计模糊函数结合变分泛函优化的图像复原算法。算法首先利用方向滤波器对图像去噪，然后利用Radon变换以去除方向滤波在模糊函数估计中引起的偏差，再利用模糊函数通过去卷积操作去除模糊，最后在去模糊的基础上利用 L0梯度范数的变换泛函的优化算法，去除剩余噪声从而对图像进行复原。实验表明，该算法可以有效地恢复摄影图像中的场景。
針對攝影圖像中常見的譟聲和模糊同時退化圖像的問題，提齣一種Radon變換估計模糊函數結閤變分汎函優化的圖像複原算法。算法首先利用方嚮濾波器對圖像去譟，然後利用Radon變換以去除方嚮濾波在模糊函數估計中引起的偏差，再利用模糊函數通過去捲積操作去除模糊，最後在去模糊的基礎上利用 L0梯度範數的變換汎函的優化算法，去除剩餘譟聲從而對圖像進行複原。實驗錶明，該算法可以有效地恢複攝影圖像中的場景。
침대섭영도상중상견적조성화모호동시퇴화도상적문제，제출일충Radon변환고계모호함수결합변분범함우화적도상복원산법。산법수선이용방향려파기대도상거조，연후이용Radon변환이거제방향려파재모호함수고계중인기적편차，재이용모호함수통과거권적조작거제모호，최후재거모호적기출상이용 L0제도범수적변환범함적우화산법，거제잉여조성종이대도상진행복원。실험표명，해산법가이유효지회복섭영도상중적장경。
An image restoration based on Radon transform and minimizing variational function was proposed, inorder to restore the blurring and noisy images by photography. The proposed algorithm firstly de-noised the blurring and noisy image by directional filter, then estimated the spread point function based on Radon transform which can eliminate error of the estimation due to the directional filter. Since then, the original image was de-burred by de-convolution with the spread point function. Finally, the de-blurred image was further de-noised by the variational function with L0-norm regularization. By experiments, the proposed algorithm can restore blurring and noisy images.
