Study on Bio-images to Enhance Resolutions Using Computational and Numerical Simulations

In this paper, an alternative algorithm for bio-image processing was mathematically and computationally studied. Generally, digital bio-image subtraction and numerical filtering process such as LPF(Low Pass Filter) and HPF(High Pass Filter) are used to enhance the quality of normal biological and anatomic details of image.

The main purpose of this research was to develop a better algorithm that would enhance the quality of the final radiograph images of human organs and structures. An ideal low pass filter would be able to increase the resolution of image as well as decrease the Ringing Artifact. In this paper, through comparison with conventional techniques, a few trigonometric functions and specific algebraic functions were tested to reduce Artifact. Compared to those produced by using a unit step function, the presented scheme improved the resolution of the resulting bio-image. Different variables were applied on the full K-space in order to find a most efficient filter, which can be used to produce better bio-image. Depending on the width of the LPF functions, the resolution of the resulting image using the non-Gaussian behavior differed. When the domain over the frequency domain was narrow, it produced blurry images.