Abstract:
At least one example embodiment discloses a method of detecting an object in an image. The method includes receiving an image, generating first images for performing a first classification operation based on the received image, reviewing first-image features of the first images using a first feature extraction method with first-type features, first classifying at least some of the first images as second images, the classified first images having first-image features matching the first-type features, reviewing second-image features of the second images using a second feature extraction method with second-type features, second classifying at least some of the second images as third images, the classified second images having second-image features matching the second-type features and detecting an object in the received image based on results of the first and second classifying,
Abstract:
An image processing device including a memory; and at least one image signal processor configured to: generate, using a first neural network, a feature value indicating whether to correct a global pixel value sensed during a unit frame interval, and generate a feature signal including the feature value; generate an image signal by merging the global pixel value with the feature signal; split a pixel value included in the image signal into a first sub-pixel value and a second sub-pixel value, split a frame feature signal included in the image signal into a first sub-feature value corresponding to the first sub-pixel value and a second sub-feature value corresponding to the second sub-pixel value, and generate a first sub-image signal including the first sub-pixel value and the first sub-feature value, and a second sub-image signal including the second sub-pixel value and the second sub-feature value; and sequentially correct the first sub-image signal and the second sub-image signal using a second neural network
Abstract:
An image processing device includes: an image sensor configured to generate first image data by using a color filter array; and processing circuitry configured to select a processing mode from a plurality of processing modes for the first image data, the selecting being based on information about the first image data; generate second image data by reconstructing the first image data using a neural network processor based on the processing mode; and generate third image data by post-processing the second image data apart from the neural network processor based on the processing mode.
Abstract:
An operating method of an image capturing device includes capturing an image; detecting a target object from the captured image; calculating modification parameters based on the detected target object; generating an adjusted image by adjusting a size of an area of the captured image according to the modification parameters; and displaying the adjusted image.
Abstract:
An image processing device includes: an image sensor configured to generate first image data by using a color filter array; and processing circuitry configured to select a processing mode from a plurality of processing modes for the first image data, the selecting being based on information about the first image data; generate second image data by reconstructing the first image data using a neural network processor based on the processing mode; and generate third image data by post-processing the second image data apart from the neural network processor based on the processing mode.
Abstract:
An image processing apparatus includes a camera configured to generate first image data, a pre-processor configured to generate second image data based on performing a pre-processing operation on the first image data, a neural network processor configured to generate third image data based on performing an image processing operation on the second image data based on using a neural network model trained to perform one or more particular image processing operations, and a main processor configured to generate corrected image data based on performing a post-processing operation on the third image data.
Abstract:
A method of controlling a stereo convergence and an image processor using the method are provided. The method includes: detecting objects from a stereo image; grouping the detected objects into at least one or more objects according to setup specification information; and moving at least one of left and right eye images of a stereo image of the grouping or a setup area including the grouping in a horizontal or vertical direction or in the horizontal and vertical directions.