Image Multiplication Algorithm Research

Today, the digital image in the field of engineering and mathematics has aroused widespread concern, and the image interpolation technology has been widely used in digital image processing, such as image zoom, image deformation, image restoration, image reconstruction.Image Interpolation is known to use the adjacent pixels to generate unknown gray value of the gray pixels value to the original image from renewable to a higher-resolution images.In this paper, through analysis of the actual image acquisition system will be digital image after image of the established model, and gives the image of that method, in accordance with the characteristics of digital images on the image to enlarge the basic principles.Secondly, this paper, the traditional linear interpolation algorithm shift unchanged. Mainly on the nearest neighbor interpolation, linear interpolation, three convolution interpolation, polynomial interpolation, Gaussian spline interpolation, and so on. By shifting the traditional linear interpolation algorithm for the image analysis, summed up the same image interpolation linear shift the common technical defects and their causes of the theory. Then, this paper from the same linear space and image interpolation and deviation from the negative image interpolation even introduced the image of modern adaptive interpolation technology, discussed the advantages and limitations of the algorithm.Adaptive interpolation technology transfer linear interpolation effect than the same interpolation technology have been greatly improved, but the algorithm complex calculation, the actual image processing system in the application of difficulties. This paper presents a message based on the Edge of adaptive image interpolation algorithm. According to the edge of the neighborhood image mapping, the complexity of the adaptive value of the right to adjust the interpolation image interpolation. Application of the algorithm after the interpolation of the border clear, natural, faithfully reflects the look of the original image, with the traditional interpolation algorithm compared to its borders and easy to good effect to achieve ,the experiment also proved the effectiveness of the method.