Abstract: A system and method are provided for noise reduction improvement for blending blurred frames in a multi-frame system. The method includes retrieving a number of frames of an image. The method also includes identifying one or more edges within the frames and comparing an edge strength of a reference frame and an edge strength of a non-reference frame. The method further includes determining a weight reduction factor based on a result of the comparison and applying the weight reduction factor to a blending of multiple frames of the number of frames of the image. In addition, the method includes displaying the blended frames.

Abstract: A method includes obtaining multiple images of a scene including a first image associated with a first exposure value and a second image associated with a second exposure value. Each image includes image data in each of multiple channels of a color space, and the first exposure value is greater than the second exposure value. The method also includes decomposing each channel of each image into a base layer and a detail layer. The method further includes generating for each image, a blending weight map for the base layer and a blending weight map for the detail layer. The method includes combining each base layer and each detail layer of each channel of each image based on the blending weight map for the base layer for the image and the blending weight map for the detail layer of the image to obtain an HDR image of the scene.

Abstract: A method includes obtaining multiple images of a scene including a first image associated with a first exposure value and a second image associated with a second exposure value. Each image includes image data in each of multiple channels of a color space, and the first exposure value is greater than the second exposure value. The method also includes decomposing each channel of each image into a base layer and a detail layer. The method further includes generating for each image, a blending weight map for the base layer and a blending weight map for the detail layer. The method includes combining each base layer and each detail layer of each channel of each image based on the blending weight map for the base layer for the image and the blending weight map for the detail layer of the image to obtain an HDR image of the scene.

Abstract: An electronic device, method, and computer readable medium for compositing high dynamic range frames are provided. The electronic device includes a camera, and a processor coupled to the camera. The processor registers the plurality of multi-exposure frames with a hybrid of matched features to align non-reference frames with a reference frame; generates blending maps of the plurality of multi-exposure frames to reduce moving ghost artifacts and identify local areas that are well-exposed in the plurality of multi-exposure frames; and blends the plurality of multi-exposure frames weighted by the blending maps using a two-step weight-constrained exposure fusion technique into a high dynamic range (HDR) frame.

Abstract: A method and device for blending multiple related frames into a single frame to reduce noise is disclosed. A method includes comparing an input frame to a corresponding reference frame in order to determine if at least one object that is in both frames moves in the input frame, and also to determine edge strengths of the at least one object. The method further includes, based on the comparison, determining which regions of the input frame to blend with corresponding regions of the reference frame, which regions of the input frame not to blend with corresponding regions of the reference frame, and which regions of the input frame to partially blend with corresponding regions of the reference frame.

Abstract: An electronic device, method, and computer readable medium for compositing high dynamic range frames are provided. The electronic device includes a camera, and a processor coupled to the camera. The processor registers the plurality of multi-exposure frames with a hybrid of matched features to align non-reference frames with a reference frame; generates blending maps of the plurality of multi-exposure frames to reduce moving ghost artifacts and identify local areas that are well-exposed in the plurality of multi-exposure frames; and blends the plurality of multi-exposure frames weighted by the blending maps using a two-step weight-constrained exposure fusion technique into a high dynamic range (HDR) frame.

Abstract: An electronic device, method, and computer readable medium for multi-frame image processing using semantic saliency are provided. The electronic device includes a camera, a display, and a processor. The processor is coupled to the camera and the display. The processor receives a plurality of frames captured by the camera during a capture event; identifies a salient region in each of the plurality of frames; determines a reference frame from the plurality of frames based on the identified salient regions; fuses non-reference frames with the determined reference frame into a completed image output.

Abstract: The method includes in order to generate a composite image: identifying, in the frame of a video stream captured by a camera, a motion characteristic associated with moving objects in a scene while the camera captured a sliding window of the video stream. The method includes for a plurality of frames in the sliding window: controlling, by the processing circuitry, a weight of blending of the frame based on the identified motion characteristic to enable the composite image to be generated according to the controlled weights of blending of the plurality of frames in the sliding window.

Abstract: A method and device for blending multiple related frames into a single frame to reduce noise is disclosed. A method includes comparing an input frame to a corresponding reference frame in order to determine if at least one object that is in both frames moves in the input frame, and also to determine edge strengths of the at least one object. The method further includes, based on the comparison, determining which regions of the input frame to blend with corresponding regions of the reference frame, which regions of the input frame not to blend with corresponding regions of the reference frame, and which regions of the input frame to partially blend with corresponding regions of the reference frame.

Abstract: An electronic device, method, and computer readable medium for multi-frame image processing using semantic saliency are provided. The electronic device includes a camera, a display, and a processor. The processor is coupled to the camera and the display. The processor receives a plurality of frames captured by the camera during a capture event; identifies a salient region in each of the plurality of frames; determines a reference frame from the plurality of frames based on the identified salient regions; fuses non-reference frames with the determined reference frame into a completed image output.

Abstract: The method includes in order to generate a composite image: identifying, in the frame of a video stream captured by a camera, a motion characteristic associated with moving objects in a scene while the camera captured a sliding window of the video stream. The method includes for a plurality of frames in the sliding window: controlling, by the processing circuitry, a weight of blending of the frame based on the identified motion characteristic to enable the composite image to be generated according to the controlled weights of blending of the plurality of frames in the sliding window.