Curvelet Transform Based On The Image Enhancement Algorithms

In recent years, the application of computers in the image is more widely promoted the application which the image of the computer and the graphics of the computer. Meanwhile, the use of the images enhancement technology in the researchment of computer is an important technology, and select part of images, then select the image data or information to increase the number of the information for images are processed, the usual way is to restrain or removal of the information to enhance data information of the image. By such an approach to the visual effect is to improve the image, and need to study related images enhancement the algorithm, the algorithm is to improve image visual effects, the related images enhancement technology primarily involved in the time domain and the algorithm domain. The wave analysis, the bone analysis and the transformation curvelet algorithmic and methods can be obtained from various angles of the images data information and the images in their respective characteristics, the scale of the image data information contained noise to separate and to reduce, therefore, these technologies have a bigger priorities in picture processing of the image enhancement technology.The major study of the paper is based on the strengthening of research about the curvelet algorithm. The study of the traditional image enhancement algorithm, the analysis of the frequency domain filtering, and the wave analysis and the bone analysis and so on. Curvelet it is based on a theoretical of the bone analysis and developed a new kind of the images enhancement technology, and to adapt to change the Dimensionality scale of data therefore, the Curvelet-Ⅱalgorithm is based on the Curvelet algorithm is much better than the Curvelet algorithm for images enhance and technology. The paper mainly about changing and revision is based on the Curvelet-Ⅱalgorithm, and about changing in curvelet coefficients is based on the improvement and implementation.