2results about How to "Edge accurate" patented technology

The application discloses an infrared image generation method combining space and frequency domains, comprising the following steps: 1, obtaining training set images; 2, constructing a GAN network combining space and frequency domains; 3, inputting the training set into the GAN network combining space and frequency domains to perform training, and obtaining a trained GAN network combining space and frequency domains; and 4, generating infrared images based on the trained GAN network combining space and frequency domains. The method is simple in steps and reasonable in design, the GAN network combining space and frequency domains realizes generation of visible light images into infrared images, retains frequency domain features and strengthens edge constraints, and utilizes a multi-scale discriminator and a composite loss function to optimize adversarial training, improve the generation quality of infrared images and solve the problem that it is difficult to balance local details and overall consistency.

This invention proposes an image fusion method and system, relating to the field of image processing technology. The image fusion method involves acquiring an image to be fused and a target image; then, performing multi-scale image enhancement processing on the target image to generate a preprocessed image; next, using the HED edge detection method to perform edge detection on the preprocessed image, generating multiple closed regions; then, calculating the region entropy value for each closed region to generate multiple closed region entropy values; finally, filtering these entropy values ​​to obtain the lowest entropy value, thereby determining the fusion region and making the fusion region more accurate; finally, fusing the image to be fused into the closed region corresponding to the lowest entropy value to generate the final fused image, thus improving the image fusion quality.