Fusion of two image of the same scene into one image depending on discrete cosine transform.

A technique known as "image fusion" is used to combine important or useful information from a number of original or related input photos into a single output image that is more accurate and comprehensive than any of the input images. Image enhancement is a technique used in pre-processing to improve the quality of many different input pictures, especially in scientific fields including microscopy, robotics, computer vision, medical imaging, and remote sensing. In this work, we show how picture merging improves image quality. This is accomplished by utilizing DCT technology. Following DCT, many methods—including the zero matrices and positive coefficient are used to extract the distinctive properties. The inverse discrete cosine transform (IDCT) is applied in the next step. The combined picture is then created by putting the average fusion rules by using a simple average between blocks. The end result is an image with more information than any of the input images. To evaluate the fused picture, a scale structure similarity index metric is applied. [ABSTRACT FROM AUTHOR]