Color normalization for a multi-camera system

A normalization, color technology, applied in TV system components, color signal processing circuits, image enhancement and other directions, can solve problems such as inconsistencies

Pending Publication Date: 2019-04-26
QUALCOMM INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, mismatches between the camera optics of a multi-camera system can lead to inconsistencies on the stitched image, specifically at the boundaries between the images used to form the stitched image

Method used

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  • Color normalization for a multi-camera system
  • Color normalization for a multi-camera system
  • Color normalization for a multi-camera system

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Embodiment Construction

[0033] The multi-camera system can efficiently capture images in 360 degrees and produce stitched image or video content that can be recorded and / or streamed to the user in real time (eg, on a head mounted display (HMD)). Different cameras with different exposure and / or white balance controls can capture images using different settings (eg, brightness sensitivity, color saturation, etc.), especially when all camera front ends are not on a common processor. Even when auto-exposure and / or auto-white balance (AE / AWB) is done globally, for example, achieving brightness and / or color consistency across all stitched images may determine different lighting conditions and light sources. Can stay challenging. The techniques of this disclosure can be used to achieve brightness and color consistency in a canvas stitched from images captured by different cameras. In some examples herein, a fixed focus (eg, infinity) is assumed for all cameras of a multi-camera system.

[0034] Some techn...

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Abstract

Techniques are described in which a device is configured to determine an overlap region between a first image and a second image, determine a first histogram based on color data included in the firstimage that corresponds to the overlap region, and determine a second histogram based on color data included in the second image that corresponds to the overlap region. The processor is further configured to determine, based on the first and second histograms, a mapping function that substantially maps the second histogram to the first histogram and apply the mapping function to the second image togenerate a normalized second image with respect to the first image.

Description

[0001] This application claims the benefit of U.S. Provisional Application No. 62 / 396,715, filed September 19, 2016, which is hereby incorporated by reference in its entirety. technical field [0002] The present disclosure relates to image generation, and more particularly, to image generation using multiple images captured from multiple cameras. Background technique [0003] Images from each camera of a multi-camera system can be stitched together to form a stitched image, such as a 360-degree image. For example, such stitched images can be recorded or streamed in real time on a head-mounted device. However, mismatches between camera optics of a multi-camera system can result in inconsistencies across the stitched images, particularly at the boundaries between the images used to form the stitched images. Contents of the invention [0004] This disclosure describes example techniques by which post-processing techniques compensate for mismatches between cameras of a multi...

Claims

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Application Information

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IPC IPC(8): G06T3/40
CPCG06T3/4038H04N7/181H04N23/698H04N23/83H04N9/69G06T5/70G06T7/90G06T5/20G06T5/40G06T11/60G06T2207/10024
Inventor S·萨胡C·乔杜里P·K·拜哈提A·D·格普特
Owner QUALCOMM INC
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