Abstract:
This article gives an improved algorithm. The original image is directly divided into larger blocks
Di, and also divided into smaller blocks or the same size of
Ri which are divided into smaller categories by the defined standard. And then it searches the attractor in the corresponding classes, if it does not find out the right
Ri, it will construct the fictitious
Ȓi and save the correctional value instead of searching
Ri from the huge database. In this way, it will save most time and greatly improved the speed of the coding.