| NVD(Next-generation Versatile Disc)is the red high-definition optical disc players. In order to perfect the function of NVD, fractal images that are developing rapidly in recent years are used to make the dynamic background of NVD audio playing. As a result, a lot of storage memory that is used to store many images can be saved and user's visual fatigue is eased.The IFS (Iterated Function System) is an important branch of fractal theory, and it has the strongest vitality and a broad applied prospect in the area of fractal images processing. The IFS algorithm simplifies a very complex image through the affine transformation, and then the images can be characterized by affine transform coefficients. After obtaining the IFS transform code of a fractal image by the self-similarity of the fractals, a fine fractal image is easy to be produced through computer programming. Because of the good data compression of image made by IFS algorithm, it is very favorable for the case of relatively small memory space of the NVD.The algorithm must be improved as a result of the characteristics of NVD hardware. The main purpose of improvement is to minimize the time of process of affine transformation. Because there are many float type multiplication factors in the process of affine transformation, different method for improvement according to the characteristics of each factor is used to convert the factors. The results must be restored original range before the information of points is displayed, then the information converted is displayed. But the basic idea of IFS algorithm can't be changed in any case. The ultimate aim of improving algorithm is to reduce the time difference between two fractal images, and accordingly achieve animation effects.In the NVD embedded environment, the result of fractal animation shows significant difference before and after improving the algorithm. Experimental data shows that the time difference compared with the original between two fractal images is reduced obviously after the algorithm is improved. |
