An image fusion method, performed by an electronic device, wherein the electronic device comprises a first camera, a second camera, and a third camera, a field of view of the first camera is greater than a field of view of the second camera, and a field of view of the third camera is greater than the field of view of the first camera, the cameras are used to capture images of a same scene, the method comprising: receiving, by the electronic device, a first operation performed by a user; capturing, by the electronic device, a first image through the first camera, a second image through the second camera, and a third image through the third camera in response to the first operation, wherein a complete view captured by the first camera in the first image is a first captured view, a complete view captured by the second camera in the second image is a second captured view, a complete view captured by the third camera in the third image is a third captured view; processing, by the electronic device, the first image to obtain a fourth image, wherein the fourth image comprises a first region image, and the processing comprises performing super-resolution reconstruction to increase a resolution of the entire first image such that a resolution of the first region image in the fourth image is the same as a resolution of the second image, a complete view of the first region image is a fourth captured view, the first captured view comprises the fourth captured view and is larger than the fourth captured view, and the fourth captured view shows the same part of the scene as the second captured view; performing, by the electronic device, image fusion on the second image and the fourth image to obtain a fifth image showing the same part of the scene as the first captured view, wherein the electronic device performs the image fusion by using a high and low frequency information fusion algorithm or a multi-scale fusion algorithm, or the electronic device performs the image fusion through a preset model, wherein the preset model is one of: a visual geometry group network model, an inception model, and a residual network, ResNET, model; processing, by the electronic device, the third image to obtain a sixth image, wherein the sixth image comprises a second region image, and the processing comprises performing super-resolution reconstruction to increase a resolution of the entire third image such that a resolution of the second region image in the sixth image is the same as a resolution of the first image, a complete view of the second region image is a fifth capture view, the third captured view comprises the fifth captured view and is larger than the fifth captured view, and the fifth captured view shows the same part of the scene as the first captured view; and performing, by the electronic device, the image fusion on the fifth image and the sixth image to obtain a seventh image showing the same part of the scene as the third captured view. receiving, by the electronic device, a first operation performed by a user; capturing, by the electronic device, a first image through the first camera, a second image through the second camera, and a third image through the third camera in response to the first operation, wherein a complete view captured by the first camera in the first image is a first captured view, a complete view captured by the second camera in the second image is a second captured view, a complete view captured by the third camera in the third image is a third captured view; processing, by the electronic device, the first image to obtain a fourth image, wherein the fourth image comprises a first region image, and the processing comprises performing super-resolution reconstruction to increase a resolution of the entire first image such that a resolution of the first region image in the fourth image is the same as a resolution of the second image, a complete view of the first region image is a fourth captured view, the first captured view comprises the fourth captured view and is larger than the fourth captured view, and the fourth captured view shows the same part of the scene as the second captured view; performing, by the electronic device, image fusion on the second image and the fourth image to obtain a fifth image showing the same part of the scene as the first captured view, wherein the electronic device performs the image fusion by using a high and low frequency information fusion algorithm or a multi-scale fusion algorithm, or the electronic device performs the image fusion through a preset model, wherein the preset model is one of: a visual geometry group network model, an inception model, and a residual network, ResNET, model; processing, by the electronic device, the third image to obtain a sixth image, wherein the sixth image comprises a second region image, and the processing comprises performing super-resolution reconstruction to increase a resolution of the entire third image such that a resolution of the second region image in the sixth image is the same as a resolution of the first image, a complete view of the second region image is a fifth capture view, the third captured view comprises the fifth captured view and is larger than the fifth captured view, and the fifth captured view shows the same part of the scene as the first captured view; and performing, by the electronic device, the image fusion on the fifth image and the sixth image to obtain a seventh image showing the same part of the scene as the third captured view.