Stitching of multiple images into a composite representation can be performed using a set of stitching parameters determined based, at least in part, upon a subjective stitching quality assessment value. A stitched image can be compared against its constituent images to obtain one or more objective quality metrics. These objective quality metrics can be fed, as input, to a trained classifier, which can infer a subjective quality assessment metric for the stitched (or otherwise composited) image. This subjective quality assessment metric can be used to adjust one or more compositing parameter values in order to provide at least a minimum subjective quality assessment value for composited images.

Stitching of multiple images into a composite representation can be performed using a set of stitching parameters determined based, at least in part, upon a subjective stitching quality assessment value. A stitched image can be compared against its constituent images to obtain one or more objective quality metrics. These objective quality metrics can be fed, as input, to a trained classifier, which can infer a subjective quality assessment metric for the stitched (or otherwise composited) image. This subjective quality assessment metric can be used to adjust one or more compositing parameter values in order to provide at least a minimum subjective quality assessment value for composited images.

An electronic device is provided. The electronic device includes at least one processor, and a memory functionally connected to the at least one processor. The memory may store instructions that, when executed, enable the electronic device to obtain a plurality of images, generate a first basic extended image based on first images among the plurality of images, identify at least one first masking area included in the first basic extended image, and generate a first inference image by modifying the at least one first masking area using at least one first inference result, based on the first images and the first basic extended image. An angle of view of the first inference image may be larger than an angle of view of each of the first images.

An electronic device is provided. The electronic device includes at least one processor, and a memory functionally connected to the at least one processor. The memory may store instructions that, when executed, enable the electronic device to obtain a plurality of images, generate a first basic extended image based on first images among the plurality of images, identify at least one first masking area included in the first basic extended image, and generate a first inference image by modifying the at least one first masking area using at least one first inference result, based on the first images and the first basic extended image. An angle of view of the first inference image may be larger than an angle of view of each of the first images.

An electronic device includes a UDC and a UDC controller configured to determine an optimal number of frames required to be captured for a scene to compensate at least one parameter to optimize an output media using the UDC, obtain a multi-frame fusion media by performing at least one multi-frame fusion on the determined optimal number of frames, perform a light source spread correction on the multi-frame fusion media, and optimize the output media based on the light source spread correction on the multi-frame fusion media.

An electronic device includes a UDC and a UDC controller configured to determine an optimal number of frames required to be captured for a scene to compensate at least one parameter to optimize an output media using the UDC, obtain a multi-frame fusion media by performing at least one multi-frame fusion on the determined optimal number of frames, perform a light source spread correction on the multi-frame fusion media, and optimize the output media based on the light source spread correction on the multi-frame fusion media.

A system for stitching images together is disclosed. The images are sometimes referred to as frames, such as frames in a video sequence. The system comprises one or more imagers (e.g. cameras) that work in coordination with a matching amount of custom code modules. The system achieves image stitching using approximately one third the Field of View (FOV) of each imager (camera) and also by increasing the number of imagers to be above a predetermined threshold. The system displays these stitched images or frames on a computer monitor, either in a still-image context but also in a video-context. Normally these tasks would involve a great detail of computation, but the system achieves these effects while managing the computational load. In stitching the images together, it is sometimes necessary to introduce some image distortion (faceting) in the combined image. The system ensures no gaps in any captured view, and assists in achieving full situational awareness for a viewer.

A system for stitching images together is disclosed. The images are sometimes referred to as frames, such as frames in a video sequence. The system comprises one or more imagers (e.g. cameras) that work in coordination with a matching amount of custom code modules. The system achieves image stitching using approximately one third the Field of View (FOV) of each imager (camera) and also by increasing the number of imagers to be above a predetermined threshold. The system displays these stitched images or frames on a computer monitor, either in a still-image context but also in a video-context. Normally these tasks would involve a great detail of computation, but the system achieves these effects while managing the computational load. In stitching the images together, it is sometimes necessary to introduce some image distortion (faceting) in the combined image. The system ensures no gaps in any captured view, and assists in achieving full situational awareness for a viewer.

The present disclosure provides systems, apparatus, methods, and computer-readable media that support linking paused video recordings captured over a period of time. In a first aspect, a method of image processing may include determining a match between first image data and second image data; presenting an indication to a user of the match; receiving user input responsive to the indication; and based on determining the match and the user input indicating to combine the first image data and the second image data, determining output image data comprising at least some of the first image data and at least some of the second image data. Other aspects and features are also claimed and described.

The present disclosure provides systems, apparatus, methods, and computer-readable media that support linking paused video recordings captured over a period of time. In a first aspect, a method of image processing may include determining a match between first image data and second image data; presenting an indication to a user of the match; receiving user input responsive to the indication; and based on determining the match and the user input indicating to combine the first image data and the second image data, determining output image data comprising at least some of the first image data and at least some of the second image data. Other aspects and features are also claimed and described.