Abstract: In a method and digital camera, an initial set of evaluation images are captured. A plurality of characteristics of the initial set of evaluation images are assessed to provide a first assessment. The characteristics include subject motion between the initial set of evaluation images. When the subject motion is in excess of a predetermined threshold, a final capture state of the camera is set responsive to the first assessment. When the subject motion is less than the predetermined threshold, the evaluation images are analyzed to provide analysis results and the final capture state of the camera is set responsive to the first assessment and the analysis results.

Abstract: In a method and digital camera, an initial pair of evaluation images are captured. A plurality of characteristics of the initial pair of evaluation images are assessed to provide a first assessment. The characteristics include subject motion between the initial pair of evaluation images. When the subject motion is in excess of a predetermined threshold, a final capture state of the camera is set responsive to the first assessment. When the subject motion is less than the predetermined threshold, the evaluation images are analyzed to provide analysis results and the final capture state of the camera is set responsive to the first assessment and the analysis results.

Abstract: In a method and digital camera, initial evaluation images of a scene are captured with the camera. A change in scene brightness between two or more of the evaluation images is computed. When the scene brightness change is outside a predetermined brightness range, a metric of scene-to-capture mismatch in the evaluation images is determined. When the brightness change and the metric are both outside predetermined ranges, the camera is shifted to a second capture state prior to the capturing of one or more additional evaluation images. In either case, a final camera state is determined using available evaluation images and one or more final images are captured with the camera in the final camera state.

Abstract: A method for correcting colored fringe artifacts in a region of an image around saturated pixels captured by an electronic imager associated with a color filter array, includes providing a threshold map of the image based on thresholding one or more color channels with a common or separate threshold value for each color channel; providing a first edge map by dilating the threshold map as a function of the color fringe width, producing a first dilated threshold map and subtracting the threshold map from the first dilated threshold map; and color-desaturating image pixels that correspond to the first edge map.

Abstract: A method for correcting for hue artifacts captured by an imager associated with a color filter array including first, second and third color pixels and optical system spaced from the imager, wherein a first group of second pixels are primarily influenced by adjacent first pixels and a second group of second pixels are primarily influenced by adjacent third pixels, includes separately blurring or smoothing the first and third pixels and the first and second group of second pixels; based on the difference between adjacent pixels of the first and second group of second pixels, correcting for hue in the second group of second pixels; and correcting for adjacent third pixels based on the correction for adjacent second group second pixels.

Abstract: A digital camera captures high quality long exposure images by capturing and summing several images of the same scene. The effective ISO of the camera is reduced by scaling the summed image, thus reducing image noise and improving long exposure quality.