抽象的

A Technique for DWT Image Fusion Using a Single Original Image

Poonam Bhojani, Hardik Dhamecha, Mehul Kantaria

In today’s modern life, digital cameras and smart phones have been widely used to acquire photographs. However, digital cameras and smart phones have a limited dynamic range, which is much lower than that our eyes can perceive. So, the pictures taken in high dynamic range scenes often exhibit under-exposure or over-exposure artifacts in shadow or highlight regions. Here, an image fusion based approach, in which a single acquired image is used, is proposed for enhancement of image. First, a function following the F-stop concept in photography is used to generate several pseudo images having different intensity. Then image classification is done to distribute the whole image into three different classes according to the luminance value of each pixel to improve the exposure value of each pixel. After that, an image fusion method, which blends pixels in distinct luminance classes using different fusion functions, is proposed to produce a fused image in which every image region can be properly exposed and the contrast of an image is improved too. This technique improves the every pixel of an image because every calculation is done pixelby- pixel.