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: A video capture method includes: controlling an image sensor to capture a plurality of first sensor output frames at a first frame rate during a first period; during the first period, checking if a motion blur condition is met; in response to the motion blur condition being met during the first period, controlling the image sensor to capture a plurality of second sensor output frames at a second frame rate during a second period following the first period, wherein the second frame rate is higher than the first frame rate; and processing consecutive sensor output frames captured by the image sensor during the first period and the second period, to generate a plurality of output frames.

Abstract: Various schemes pertaining to generating an output image using hybrid motion-compensated fusion techniques are described. An apparatus receives multi-frame data comprising a plurality of images consecutively captured. The apparatus subsequently generates a first intermediate image and a second intermediate image by performing temporal fusion on a first part and a second part of the multi-frame data, respectively. The apparatus further generates the output image using motion-compensated fusion based on the first and second intermediate images. The apparatus provides benefits of efficiently reducing noise and blurriness in the output image.

Abstract: A video capture method includes: controlling an image sensor to capture a plurality of first sensor output frames at a first frame rate during a first period; during the first period, checking if a motion blur condition is met; in response to the motion blur condition being met during the first period, controlling the image sensor to capture a plurality of second sensor output frames at a second frame rate during a second period following the first period, wherein the second frame rate is higher than the first frame rate; and processing consecutive sensor output frames captured by the image sensor during the first period and the second period, to generate a plurality of output frames.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a display device, a sensor, and a processor. The display device receives an image data. The display device includes a display panel and displays an image related to the image data on the display panel. A reference image point of the image is displayed on a first location on the display panel. The sensor detects a movement status of the electronic apparatus when the electronic apparatus shakes to generate at least one movement parameter. The processor calculates compensation data according to the at least one movement parameter and size information of the display panel. When the display device receives the compensation data, the display device displays the image by shifting the reference image point of the image from the first location to a second location on the display panel to display according to the compensation data.

Abstract: Various schemes pertaining to generating a full-frame color image using a hybrid sensor are described. An apparatus receives sensor data from the hybrid sensor, wherein the sensor data includes partial-frame chromatic data of a plurality of chromatic channels and partial-frame color-insensitive data. The apparatus subsequently generates full-frame color-insensitive data based on the partial-frame color-insensitive data. The apparatus subsequently generates the full-frame color image based on the full-frame color-insensitive data and the partial-frame chromatic data. The apparatus provides benefits of enhancing image quality of the full-frame color image especially under low light conditions.

Abstract: An image enhancement method applied to an image enhancement apparatus and includes acquiring a first edge feature from a first spectral image and a second edge feature from a second spectral image, analyzing similarity between the first edge feature and the second edge feature to align the first spectral image with the second spectral image, acquiring at least one first detail feature from the first spectral image and at least one second detail feature from the second spectral image, comparing the first edge feature and the second edge feature to generate a first weight and a second weight, and fusing the first detail feature weighted by the first weight with the second detail feature weighted by the second weight to generate a fused image. The first spectral image and the second spectral image are captured at the same point of time.

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 electronic apparatus is provided. The electronic apparatus includes a display device, a sensor, and a processor. The display device receives an image data. The display device includes a display panel and displays an image related to the image data on the display panel. A reference image point of the image is displayed on a first location on the display panel. The sensor detects a movement status of the electronic apparatus when the electronic apparatus shakes to generate at least one movement parameter. The processor calculates compensation data according to the at least one movement parameter and size information of the display panel. When the display device receives the compensation data, the display device displays the image by shifting the reference image point of the image from the first location to a second location on the display panel to display according to the compensation data.

Abstract: A display control apparatus includes a viewing condition recognition circuit, a content classification circuit, and a display adjustment circuit. The viewing condition recognition circuit recognizes a viewing condition associated with a display device to generate a viewing condition recognition result. The content classification circuit analyzes an input frame to generate a content classification result of contents included in the input frame. The display adjustment circuit generates an output frame by performing image content adjustment according to the viewing condition recognition result and the content classification result, wherein the image content adjustment comprises at least content-adaptive adjustment applied to at least a portion of pixel positions of the input frame based on the content classification result.

Abstract: An image processing method performed by an image processor includes: receiving an image, wherein the image comprises a plurality of pixels having different strengths of at least one color; unevenly adjusting the strengths of the at least one color of specific pixels to generate a processed image.

Abstract: A display control apparatus includes a viewing condition recognition circuit, a content classification circuit, and a display adjustment circuit. The viewing condition recognition circuit recognizes a viewing condition associated with a display device to generate a viewing condition recognition result. The content classification circuit analyzes an input frame to generate a content classification result of contents included in the input frame. The display adjustment circuit generates an output frame by performing image content adjustment according to the viewing condition recognition result and the content classification result, wherein the image content adjustment comprises at least content-adaptive adjustment applied to at least a portion of pixel positions of the input frame based on the content classification result.

Abstract: A method for adjusting saturation of an area of an image is disclosed. The method includes calculating a deviation level of a pixel in the area of the image by a processor and calculating a modified saturation value of the pixel in the area of the image according to the deviation level of the pixel in the area of the image and an original saturation value of the pixel in the area of the image by the processor. The deviation level indicates brightness differences of the brightness values among the pixel and a pixel set in a vicinity of the pixel in the area of the image. The pixel set includes pixels in the vicinity of the pixel of the area of the image.

Abstract: A method for adjusting saturation of an area of an image is disclosed. The method includes calculating a deviation level of a pixel in the area of the image by a processor and calculating a modified saturation value of the pixel in the area of the image according to the deviation level of the pixel in the area of the image and an original saturation value of the pixel in the area of the image by the processor. The deviation level indicates brightness differences of the brightness values among the pixel and a pixel set in a vicinity of the pixel in the area of the image. The pixel set includes pixels in the vicinity of the pixel of the area of the image.

Abstract: A method for adjusting saturation of an area of an image is disclosed. The method includes calculating a deviation level of a pixel in the area of the image and calculating a modified saturation value of the pixel in the area of the image according to the deviation level of the pixel in the area of the image and an original saturation value of the pixel in the area of the image. The deviation level indicates brightness differences of the brightness values among the pixel and a pixel set in a vicinity of the pixel in the area of the image. The pixel set includes pixels in the vicinity of the pixel of the area of the image.

Abstract: A method for adjusting saturation of an area of an image is disclosed. The method includes calculating a deviation level of a pixel in the area of the image and calculating a modified saturation value of the pixel in the area of the image according to the deviation level of the pixel in the area of the image and an original saturation value of the pixel in the area of the image. The deviation level indicates brightness differences of the brightness values among the pixel and a pixel set in a vicinity of the pixel in the area of the image. The pixel set includes pixels in the vicinity of the pixel of the area of the image.

Abstract: The present invention comprises of a digital image processing method which simultaneously enhances color saturation and sharpness on a pixel-by-pixel basis directly in RGB color space, the most popular color space used to represent digital color images, and does not cause color hue shifts. The method comprises the steps of: developing a surround function to analyze the local brightness uniformity in a digital image; generating an intermediate image using the brightness uniformity; calculating enhancement values with a gain function in each of the RGB channels for each pixel; and adding the enhancement values to the respective RGB channels for each pixel to produce an adjusted digital color image with enhanced color saturation and sharpness.

Abstract: The present invention relates to a method for enhancing images of non-uniform brightness. In the invention, a surround function is developed to analyze relationship of individual pixel brightness to that of surrounding pixels in an image. This brightness information is then used to set a gain function to decide the required adjustments on the values of RGB (red, green and blue) color channels of each pixel. The final value of a pixel is the sum of the adjusted values of R, G and B channels. The present method is capable of imitating human vision and adaptively adjusting brightness in every region of an image while preserving the color consistency.