G06T5/90

Apparatus and method for sensing image based on event

Disclosed herein are an apparatus and method for sensing an image based on an event. The apparatus includes memory in which at least one program is recorded and a processor for executing the program. The program may perform acquiring at least one of brightness information and color information from an input image signal, performing conversion including at least one of filtering of at least one of the acquired brightness information and color information, color conversion, and brightness conversion, calculating a quantized difference between a first converted image converted from the currently input image signal and a second converted image converted from a previously input image signal, and generating event information for the input image signal as a bitstream based on the quantized difference.

SIGNAL RESHAPING AND CODING FOR HDR AND WIDE COLOR GAMUT SIGNALS

In a method to improve the coding efficiency of high-dynamic range (HDR) images, a decoder parses sequence processing set (SPS) data from an input coded bitstream to detect that an HDR extension syntax structure is present in the parsed SPS data. It extracts from the HDR extension syntax structure post-processing information that includes one or more of a color space enabled flag, a color enhancement enabled flag, an adaptive_reshaping_enabled_flag, a dynamic range conversion flag, a color correction enabled flag, or an SDR_viewable_flag. It decodes the input bitstream to generate a preliminary output decoded signal, and generates a second output signal based on the preliminary output signal and the post-processing information.

METHOD AND MICROSCOPE FOR IMAGING A SAMPLE
20200393658 · 2020-12-17 ·

A method for imaging a sample using a microscope includes recording a first image of the sample, the first image being represented by image data. Sample information is extracted from the first image by analyzing the image data using an analyzer. At least a part of the sample is scanned with a light beam while modulating the light beam based on the extracted sample information. A second image of the sample is recorded during and/or after scanning the sample with the modulated light beam.

METHOD FOR RAPIDLY DEHAZING UNDERGROUND PIPELINE IMAGE BASED ON DARK CHANNEL PRIOR

The present invention proposes a method for rapidly dehazing an underground pipeline image based on dark channel prior (DCP). The method includes: preprocessing a hazy underground pipeline image to obtain a dark channel image corresponding to the hazy image; average-filtering the obtained dark channel image to estimate an image transmittance; compensating an offset value for an average filtering result to obtain a rough estimate of the transmittance; using a pixel value of the original image and an average-filtered image to estimate a global atmospheric light value; and using a physical restoration model to restore a dehazed image. The method of the present invention realizes the timeliness of the algorithm while ensuring the dehazing effect, and is suitable for scientific fields such as video monitoring of underground pipeline environment and identification of underground pipeline defects.

Method and apparatus for accelerated tonemapping and display

According to some embodiments, a camera captures video images at a high dynamic range. These images are then tonemapped into images of a lower dynamic range with enhanced contrast. The contrast enhancement for a given pixel depends on the image's local contrast at a variety of different scales. The tonemapped images are then shown on a display. Calculation of this contrast is accelerated by the camera creating a plurality of low-pass filtered versions of the original image at progressively stronger low-pass filtering; these images may be stored at increasingly lower resolutions in a mipmap. Calculations are enhanced by use of a massively parallel processor and a texture mapping unit for hardware-accelerated sampling of blended averages of several pixels. Other embodiments are shown and discussed.

Method controlling image sensor parameters

A method of controlling parameters for image sensors includes; receiving a first image and a second image, calculating first feature values related to the first image and second feature values related to the second image; generating comparison results by comparing the first feature values of fixed regions and first variable regions of the first image with the second feature values of fixed regions and first variable regions of the second image, and controlling at least one parameter on the basis of the comparison results.

Electronic device and method for correcting images based on image feature information and image correction scheme

An electronic device according to embodiments may include: a communication module; a first processor configured to correct images, and a second processor operatively connected to the communication module and the first processor. The second processor is configured to control the first processor to correct a first image set obtained from a database, select at least one image from the first image set based at least on a correction result of the first image set, and transmit feature information on the selected at least one image to the first processor. The first processor is configured to obtain a second image set from the database based on the feature information, and generate a third image set by correcting the second image set. Various other embodiments may be possible.

Detecting mura defects in master panel of flat panel displays during fabrication

A method is provided for detecting mura defects in a master panel during fabrication, the master panel containing multiple flat screen displays. The method includes preparing a combined image from image data of the master panel; enhancing the quality of the combined image, including removing artifacts from the combined image; filtering the enhanced quality combined image to detect local mura defects, the local mura defects including at least one structured pattern of defined geometric shapes; applying different candidate patterns to the filtered combined image; selecting one of the candidate patterns as a defect detection pattern, the defect detection pattern being closest to the structured pattern of defined geometric shapes of the detected local mura defects; and displaying at least a portion of the defect detection pattern on a display, together with the quality-enhanced combined image.

CIRCUIT BREAKER OPENING/CLOSING ASSISTANCE APPARATUS
20200388027 · 2020-12-10 ·

The present disclosure relates to a circuit breaker opening/closing assistance apparatus for correcting a thermal image of a circuit breaker on the basis of a visible image of the circuit breaker, and assisting an opening/closing operation of the relevant circuit breaker on the basis of a temperature identified through the corrected thermal image. Further, the present disclosure relates to a circuit breaker opening/closing assistance apparatus for identifying a temperature of a circuit breaker in which a failure has occurred, on the basis of a thermal image of the circuit breaker, and assisting an opening/closing operation of the relevant circuit breaker on the basis of the identified temperature.

METHODS OF ASSESSING TELOMERES

This invention relates generally to methods for assessing telomeres, including methods of measuring the length of a telomere and methods for detecting extension of a telomere and methods for measuring telomere extension, and associated systems.