Mediatek Corporation

Keh-Tsong Li

Ying-Jui Chen

Chi-Cheng Ju

I-Hsien Lee

Chia-Ping Chen

Tai-Hsiang Huang

Gang-Wei Fan

Shao-Hsiang Chang

Wen-Fu Lee

Po-Yu Yeh

Jia-Ying Lin

Chao-Yue Tseng

Shao-Yang Wang

Pin-Wei Chen

Yu-Ju Lin

Jing-Ying Chang

Hung-Chih Ko

Ching-Sheng Chen

Pin-Chung Lin

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.

Image noise and blurriness reduction

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.

High sensitivity color image generation using hybrid sensor

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.

Method and system for blending images captured under different strobe conditions

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.

Method and apparatus for dynamically changing frame rate of sensor output frames according to whether motion blur condition is met

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.

Electronic apparatus with image stabilization

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.

Apparatus and method for performing image content adjustment according to viewing condition recognition result and content classification result

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.

Method for adjusting saturation and contrast of an area of an image and apparatus thereof

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.

Growing community of inventors

Kaohsiung, Taiwan

Keh-Tsong Li