Abstract: An image capture method for flash photography includes: capturing at least one first image while a strobe device is operating under a first strobe intensity setting for emitting main flash, capturing at least one second image while the strobe device is operating under a second strobe intensity setting different from the first strobe intensity setting, and generating an output image by blending the at least one first image and the at least one second image.

Abstract: An image processing method includes: analyzing, by a white balance gain estimation circuit, a plurality of exposure frames with different exposures to generate a plurality of sets of white balance gain settings; combining the plurality of sets of white balance gain settings to generate a white balance gain table; applying the white balance gain table to the plurality of exposure frames to generate a plurality of white balance compensated frames; and generating a high dynamic range (HDR) frame by performing pixel fusion according to pixel data derived from the plurality of white balance compensated frames.

Abstract: An image capture method for flash photography includes: capturing at least one first image while a strobe device is operating under a first strobe intensity setting for emitting main flash, capturing at least one second image while the strobe device is operating under a second strobe intensity setting different from the first strobe intensity setting, and generating an output image by blending the at least one first image and the at least one second image.

Abstract: An image processing method includes: analyzing, by a white balance gain estimation circuit, a plurality of exposure frames with different exposures to generate a plurality of sets of white balance gain settings; combining the plurality of sets of white balance gain settings to generate a white balance gain table; applying the white balance gain table to the plurality of exposure frames to generate a plurality of white balance compensated frames; and generating a high dynamic range (HDR) frame by performing pixel fusion according to pixel data derived from the plurality of white balance compensated frames.

Abstract: An image processing method is provided. The image processing method comprises obtaining at least one original image; performing a pixel binning progress on the original image; continuously obtaining a plurality of the first images processed by the pixel binning progress; and performing a super resolution reconstruction process on the first images via an interpolation method to generate a second image. The pixel binning progress makes pixel signals for a plurality of adjacent pixels in the original image combined into a new pixel signal to generate a first image with the new pixel signal. A non-transitory computer-readable storage medium and an electronic device for performing the method are also provided.

Abstract: A method of eliminating a color cast of image in photographic device includes: obtaining a color cast image; determining a color temperature of the color cast image; analyzing a brightness ratio among a first primary color, a second primary color, and a third primary color of the color cast image; choosing one parameter group from a plurality of color cast calibration parameter groups according to the color temperature; calibrating the brightness ratio among the first primary color, the second primary color, and the third primary color of the color cast image via the chosen color cast calibration parameter group.

Abstract: A method for object detection and an apparatus using the same are provided, and the method includes: An image is captured, in which the image includes a plurality of sampling-windows. A first-stage sub-classifier of a classifier is used to detect whether the sampling-windows contain an object therein. The classifier is rotated at least one time by a predetermined rotation angle and the first-stage sub-classifier of the classifier is used to detect whether the sampling-windows contain the object after each rotating, wherein when the object is detected within the sampling-windows, keep detecting whether the sampling-windows contain the object therein sequentially by a second-stage sub-classifier to an Nth stage sub-classifier of the classifier with the same orientation. The image is rotated at least one time by a predetermined image angle and the above-mentioned operations of detecting the object is performed after each rotating. The sampling-windows containing the object are output.

Abstract: A method of eliminating a color cast of image in photographic device includes: obtaining a color cast image; determining a color temperature of the color cast image; analyzing a brightness ratio among a first primary color, a second primary color, and a third primary color of the color cast image; choosing one parameter group from a plurality of color cast calibration parameter groups according to the color temperature; calibrating the brightness ratio among the first primary color, the second primary color, and the third primary color of the color cast image via the chosen color cast calibration parameter group.

Abstract: A method for object detection and an apparatus using the same are provided, and the method includes: An image is captured, in which the image includes a plurality of sampling-windows. A first-stage sub-classifier of a classifier is used to detect whether the sampling-windows contain an object therein. The classifier is rotated at least one time by a predetermined rotation angle and the first-stage sub-classifier of the classifier is used to detect whether the sampling-windows contain the object after each rotating, wherein when the object is detected within the sampling-windows, keep detecting whether the sampling-windows contain the object therein sequentially by a second-stage sub-classifier to an Nth stage sub-classifier of the classifier with the same orientation. The image is rotated at least one time by a predetermined image angle and the above-mentioned operations of detecting the object is performed after each rotating. The sampling-windows containing the object are output.