Study Of Multi-resolution Based Two-dimensional Histogram Equalization On Medical Image Enhancement

Medical imaging technology has gradually become an important tool for nondestructive detection of human body in medical diagnosis.It mainly includes X-ray imaging,computed tomography(CT),magnetic resonance imaging(MRI),ultrasound imaging and nuclear medicine imaging,etc.These imaging methods have their own unique application fields.According to the different physiological structures or pathological conditions,we can select the corresponding medical imaging technology.CT and MRI as the basis for health examination and detection of major diseases,could show the internal structure and state of the human body.Therefore,the quality of the image is particularly important.DICOM as the international standard of medical images,has been widely used in the field of medical imaging.It is a kind of medical image of high bit-depth format with a large amount of information and other characteristics.Because the original image obtained from medical equipment is restricted by the hardware itself performance,acquisition conditions and other factors,medical image could appear degeneration of the quality,such as low contrast or blurred image etc.In view of this situation,this paper proposes a new enhancement algorithm for the high bit-depth medical image,based on the combination of Laplacian Pyramid and two-dimensional histogram equalization,which is short for Lap-2DHE.In this algorithm,firstly,Laplacian Pyramid is introduced to separate the image layers,and the choice scheme of reference points is selected adaptably based on the statistical distribution of the gray instead of traditional uniform settings.Thereby the image is analyzed in multi-scale to enhance the details of the image.After that,combined with two-dimensional histogram equalization(2DHE),whose neighborhood region is based on blur signal to noise ratio(BSNR)to be controlled.It achieves image to the best enhancement effect,and solves the problem effectively that the traditional 2DHE method could lose local details in the high bit-depth medical image.Experimental results show that compared with existing algorithms,Lap-2DHE algorithm could enhance the contrast and details of the image effectively.The proposed algorithm improves the visual effect perfectly and is applied to medical image enhancement generally.Meanwhile it is significant to upgrade the practicability of nondestructive testing technology.Improving the quality of medical image through image enhancement algorithm,not only promotes the practicality and reliability of medical equipment,but also opens up the widely applied situation of imaging technology based on low dose electromagnetic wave.It has a good application prospect in medical detection,and provides a feasible support for the development of medical imaging equipment.