IMAGE SHARPENING AND SOFTENING

Image sharpening and softening

Image sharpening and softening

Introduction

Image blurring is mainly due to high frequency components in the image below the low frequency component. The image quality is reflected in two different parts of uniform gray area boundaries. When the imaging parameters correctly being derived, change in the brightness of image transfer is usually normal. The edges of objects in the image and the background should be between the ideal positions of the surface so that the image edge looks sharp, on the contrary, it will blur the edges of the image. When its characteristics between object and background gray-scale changes in a transition zone, it would damage the image of the visual effects. To remove the image fuzzy edge, it needs to enhance the image of the high frequency components, so that the edge sharpening could produce better results.

Discussion

Image sharpening is a way for processing the original image information to help people transform the quality of view; its purpose is to improve the image of the visual effects and eliminate the image quality degradation (blur), so that the object image and the edge should be changed. Image sharpening, need to use the anti-integration operation (differential), differential operation is used to get the signal because the rate of change is used strengthen the role of high frequency image, thereby sharpening the image needs to be isotropic, with constant rotation characteristics of linear differential operators.

Image sharpening is a compensation profile highlighting the edge information to make the image clearer approach. Sharpening the goal is essentially to enhance the high frequency components of the original image. Conventional whole image sharpening method of algorithm for high-frequency enhancement shows the result causing in significant noise. To this end, in-depth study of the sharpening principle based on the proposed edge detection algorithm that is first detected by the edge, then the introduction of edge detection image enhancement method for high frequency. Experimental results show that the method can effectively solve the noise problem after image sharpening. Image sharpening can be carried out in the space domain can also be achieved in the frequency domain.

The process of sharpening the image signal

The purpose of sharpening the image spatial domain

In the spatial domain, for image sharpening filter processing has become a space for the purpose of further sharpening. First, extract the image and identifying image features for the understanding of the parameters, preparing data for image ...