Abstract: A method for correcting flickers in a single-shot multiple-exposure image and associated apparatus is provided. The single-shot multi-exposure image includes first image data and second image data. The method includes the steps of: computing a first vertical profile for the first image data and a second vertical profile for the second image data; computing a flicker modulation function according to the first vertical profile and the second vertical profile; and multiplying each pixel in the second image data by the flicker modulation function to correct flickers.

Abstract: A method for correcting flickers in a single-shot multiple-exposure image and associated apparatus is provided. The single-shot multi-exposure image includes first image data and second image data. The method includes the steps of: computing a first vertical profile for the first image data and a second vertical profile for the second image data; computing a flicker modulation function according to the first vertical profile and the second vertical profile; and multiplying each pixel in the second image data by the flicker modulation function to correct flickers.

Abstract: An image processing apparatus comprises a characteristic value generator for receiving image data, analyzing neighboring pixels of a to-be-processed pixel and calculating characteristic values comprising average illumination, illumination variability and histogram of illumination of a local image; a weighting generator for generating first and second weightings according to the characteristic values, wherein the first weighting is inversely proportional to the average illumination and directly proportional to the illumination variability, and the second weighting is relative to the histogram of illumination and illumination of the to-be-processed pixel; a first/second modulated illumination generator for generating first/second modulated illumination according to the illumination of the to-be-processed pixel; and a computation unit for generating first and second weighting illumination according to the first and second weightings and the first and second modulated illumination, and synthesizing the first and

Abstract: A method and an apparatus of image dynamic response re-mapping and a digital camera using the same. The apparatus first transforms an original Bayer image data into new transformed image data on a new image coordinate system, and then performs dynamic response re-mapping for the new transformed image data to calculate a gain modulated value. Finally, the apparatus adjusts the original Bayer image data according to the gain modulated value and outputs adjusted Bayer image data with dynamic response re-mapping. Because the apparatus transforms the original Bayer image data into the new transformed image data on the new image coordinate system in advance, it can reduce the bad effect on performing the dynamic response re-mapping on a high-frequency color signal and also keep the color coherence in color processing.

Abstract: A rapid color recognition method is provided. In the method, an area for representing a color of the pixel is identified according to the basic color component data of the pixel, and then the color code is outputted according to a predetermined color classification table of the area. In the method, since an isosceles right triangle plane is provided by extending and scaling the regular triangle plane by using one side of the regular triangle plane as a base, wherein the regular triangle plane is provided by normalizing the basic color component data. Therefore, the basic color component data is normalized without division operation, and thus the complexity of the operation of the color recognition is reduced.

Abstract: A method and an apparatus of image dynamic response re-mapping and a digital camera using the same. The apparatus first transforms an original Bayer image data into new transformed image data on a new image coordinate system, and then performs dynamic response re-mapping for the new transformed image data to calculate a gain modulated value. Finally, the apparatus adjusts the original Bayer image data according to the gain modulated value and outputs adjusted Bayer image data with dynamic response re-mapping. Because the apparatus transforms the original Bayer image data into the new transformed image data on the new image coordinate system in advance, it can reduce the bad effect on performing the dynamic response re-mapping on a high-frequency color signal and also keep the color coherence in color processing.

Abstract: An image processing apparatus comprises a characteristic value generator for receiving image data, analyzing neighboring pixels of a to-be-processed pixel and calculating characteristic values comprising average illumination, illumination variability and histogram of illumination of a local image; a weighting generator for generating first and second weightings according to the characteristic values, wherein the first weighting is inversely proportional to the average illumination and directly proportional to the illumination variability, and the second weighting is relative to the histogram of illumination and illumination of the to-be-processed pixel; a first/second modulated illumination generator for generating first/second modulated illumination according to the illumination of the to-be-processed pixel; and a computation unit for generating first and second weighting illumination according to the first and second weightings and the first and second modulated illumination, and synthesizing the first and

Abstract: A rapid color recognition method is provided. In the method, an area for representing a color of the pixel is identified according to the basic color component data of the pixel, and then the color code is outputted according to a predetermined color classification table of the area. In the method, since an isosceles right triangle plane is provided by extending and scaling the regular triangle plane by using one side of the regular triangle plane as a base, wherein the regular triangle plane is provided by normalizing the basic color component data. Therefore, the basic color component data is normalized without division operation, and thus the complexity of the operation of the color recognition is reduced.