Abstract: A method for image alignment is provided. The method for image alignment includes the following stages. A first image with a first property from a first sensor is received. A second image with a second property from a second sensor is received. The first property is similar to the second property. The first feature correspondence between the first image and the second image is calculated. A third image with a third property from the first sensor and a fourth image with a fourth property from the second image sensor are received. The third property is different from the fourth property. Image alignment is performed on the third image and the fourth image based on the first feature correspondence between the first image and the second image.

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: A method for high dynamic range imaging is provided. The method includes the following stages. A first image from a first sensor capable of sensing a first spectrum is received. A second image from a second sensor capable of sensing a second spectrum is received. The second spectrum has a higher wavelength range as compared to the first spectrum. A first image feature from the first image and a second image feature from the second image are retrieved. The first and second images are fused by referencing the first image feature and the second image feature to generate a final image.

Abstract: An image calibration method is applied to an image calibration device includes an image receiver and an operation processor. The image calibration method of providing a motion deblur function includes driving a first camera to capture a first image having a first exposure time, driving a second camera disposed adjacent to the first camera to capture a second image having a second exposure time different from and at least partly overlapped with the first exposure time, and fusing a first feature of the first image and a second feature of the second image to generate a fusion image.

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.