Photographing method for compensating dynamic scenes and a camera device using the same

A photographing method for compensating dynamic scenes, the method comprising:

• activating a camera and activating a preview mode of the camera;
• obtaining preview images of the preview mode from the camera;
• identifying a target object in the preview images by a preview analysis unit, and determining whether the target object is a dynamic object;
• storing a preset number of the preview images as first images when the target object is a dynamic object, and storing a second image taken by the camera when the camera receiving an image-capturing instruction;
• dividing each of the first images to obtain a plurality of first sub-images and dividing the second image to obtain a plurality of second sub-images by an image optimization unit;
• comparing the plurality of first sub-images in each of the first images with the plurality of second sub-images of the second image by an edge sharpness and a clarity calculation to determine whether the second image has a fuzzy area range;
• comparing the plurality of first sub-images in each of the first images with the plurality of the second sub-images in the second image to determine feature information in the first images and the feature information corresponding to the fuzzy area range of the second image;
• determining the feature information having a highest similarity with the fuzzy region range as the target feature information, and combining the target feature information with the second image to generate the target image;
• outputting the target image.

A non-transitory storage medium having stored thereon instructions that, when executed by at least one processor of a camera device, causes the least one processor to execute instructions of a photographing method for compensating dynamic scenes, the photographing method for compensating dynamic scenes comprising:

• activating a camera and activating a preview mode of the camera;
• obtaining preview images of the preview mode from the camera;
• identifying a target object in the preview images by a preview analysis unit, and determining whether the target object is a dynamic object;
• storing a preset number of the preview images as first images when the target object is a dynamic object, and storing a second image taken by the camera when the camera receiving an image-capturing instruction;
• dividing each of the first images to obtain a plurality of first sub-images and dividing the second image to obtain a plurality of second sub-images by an image optimization unit;
• comparing the plurality of first sub-images in each of the first images with the plurality of second sub-images of the second image by an edge sharpness and a clarity calculation to determine whether the second image has a fuzzy area range;
• comparing the plurality of first sub-images in each of the first images with the plurality of the second sub-images in the second image to determine feature information in the first images and each characteristic information corresponding to the fuzzy area range of the second image;
• determining the feature information having a highest similarity with the fuzzy region range as the target feature information, and combining the target feature information with the second image to generate the target image;
• outputting the target image.