【摘要】 在分析基于UDP的图像传输数据丢失的原因和特点的基础上,发现其特点是图像按行进行传输,因而数据丢失而产生的图像残缺也是按行发生的。基于相邻点间的灰度值关联度较大的原理,提出按列处理数据的方法,对每一列的丢失数据采用预测方法,预测出各行丢失的数据,进而达到修复整幅图像的目的。借鉴灰色预测的思想,提出了对图像按列进行恢复的灰色预测方法,该算法基本满足了图像恢复的要求,并通过实验得到了该算法的适用条件。更多还原

【Abstract】 Based on the analysis of the features and the reasons for the data loss when UDP images are transferred,it is found its feature is that images are transferred in rows.It is the same with image imperfection.On the basis of the principle that the grey correlation degree is larger between the neighboring dots,the paper comes up with the new method to deal with data in the column.The lost data in each column will be dealt through the method of the prediction which predict the lost data in each row in order to repair and restore the imperfect images.Also makes use of the idea of the grey prediction and puts forward that the grey prediction method should be applied when images are restored by column.The new algorithm basically meets the needs of image restoration and attains the applicable conditons for the algorithm through the experiments.更多还原