The Study Of Medical Image Enhancement Based On Dyadic Wavelet And Fusion Method

With the development of information technology,people are no longer just to obtain image information,in order to further achieve the purpose of research,image enhancement has become an irreplaceable part in the field of image processing.Most of the image due to various reasons will lose some information,and image enhancement is one of practical technology for human beings to solve this problem,by using image enhancement technology,can achieve the image contrast enhancement,improve the visual effect.Therefore,medical image enhancement becomes particularly important.The method of digital image enhancement has the frequency domain processing method and the spatial domain processing method,even if can achieve the enhancement goal,but will cover the image partial information and the detail information in varying degrees.It is because the wavelet multi-resolution characteristics,makes use of wavelet transform for image enhancement is more and more applicable,because wavelet has two translational invariance,the enhancement plays an irreplaceable role in medical image.For different objects,when the X light passes through,the pixel gray value of the image is different.For example,when the X light to the imaging plate,the background area of high strength,is slow and the pixel gray value transform low value;and when the X light transmission object for the human body,will make the transmittance decreased,so that the image gray value.Therefore,the X light in various parts of the human body is not the same as the transmission of light and dark.In general,we believe that the gray value of pixels in the information area is high,and the gray value of the pixels in the background area is low,but it can not be defined.The medical CT image also has a special place,because of the existence of various density differences within the human body,organ tissue will creep,resulting in a series of problems such as low contrast imaging.In this paper,we use the method of image fusion to study the enhancement of medical image based on the two wavelet transform.First of all,the two wavelet filter filter for image decomposition,through repeated testing,to determine the performance of the two into the best wavelet filter,and then use the enhancement function to enhance the high-frequency part of the image after the decomposition of different methods,different fusion and were fused to determine the best fusion method by experiment,finally using two wavelet transform.A large number of experiments and conclusions show that: the proposed algorithm to achieve the purpose of enhanced graphics and to a certain extent increased the clarity of medical images.