A Method of Local Contrast Enhancement of Images

Abstract

The invention discloses a method for enhancing the local contrast of an image, comprising: acquiring the source gray scale of the first block where the pixel point is located, the second block adjacent to the first block, and the third block; The source grayscale of the fourth block relative to the first block where the pixel is located; according to the distance between the pixel point and the first block, the second block, the third block and the fourth block and the source gray The corresponding linear interpolation is calculated for the steps; the nonlinear interpolation of the linear interpolation is calculated through the nonlinear function; the weighted calculation is performed on the nonlinear interpolation to obtain the target grayscale of the pixel. The invention increases the diagonal blocks referred to when adjusting the local gray scale, effectively reflects the correlation of the diagonal direction of the image, enhances the display effect of the local contrast in the smoothing process, enhances the display effect of the edge image, and improves the user experience.

Description

technical field [0001] The invention relates to the field of display technology, in particular to a method for enhancing local contrast of an image. Background technique [0002] Image contrast enhancement algorithms have important applications in many occasions, especially in medical images, because visual inspection of medical images is necessary in the diagnosis of many diseases. Due to the limitations of the medical image itself and imaging conditions, the contrast of the image is very low. Therefore, a lot of research has been carried out in this area. This enhancement algorithm generally follows certain visual principles. It is well known that the human eye is sensitive to high-frequency signals (edges, etc.). Although details are often high-frequency signals, they are often embedded in a large amount of low-frequency background signals, making them less visible visually. Therefore, appropriately increasing the high-frequency part can improve the visual effect and ...

AI Technical Summary

Problems solved by technology

[0005] However, the bilinear interpolation technology has the following disadvantages: (1) It does not refer to the gray scale of the diagonal block. When there is a large difference in the diagonal block, the displayed image cannot make a corresponding correlation

(2) No detection and enhancement for image edges

Images