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Computational-complexity adaptive method and system for transferring low dynamic range image to high dynamic range image

a high-dynamic range, adaptive technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of inability to recover saturated information, inability to apply traditional inverse tone mapping methods, and only expand the illumination rang

Active Publication Date: 2017-07-06
TCL CORPORATION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

Effectively recovers saturated information in over-exposure regions and expands the illumination range, producing HDR images with enhanced details, while being computationally flexible and practical for industry use.

Problems solved by technology

However, most image contents nowadays are in LDR, because the dynamic range of traditional camera is narrow.
Among existing technologies, traditional inverse tone mapping methods only expand the illumination range while do not recover the saturated information in the over-exposure region.
However, such assumption usually does not hold, making the performance of the methods questionable.
Further, the hallucination method needs user interaction to manually decide the over-exposure region and its corresponding self-similarity region, making the method impractical in industry.

Method used

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  • Computational-complexity adaptive method and system for transferring low dynamic range image to high dynamic range image
  • Computational-complexity adaptive method and system for transferring low dynamic range image to high dynamic range image
  • Computational-complexity adaptive method and system for transferring low dynamic range image to high dynamic range image

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Embodiment Construction

[0017]Reference will now be made in detail to exemplary embodiments of the invention, which are illustrated in the accompanying drawings. Hereinafter, embodiments consistent with the disclosure will be described with reference to the drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts. It is apparent that the described embodiments are some but not all of the embodiments of the present invention. Based on the disclosed embodiments, persons of ordinary skill in the art may derive other embodiments consistent with the present disclosure, all of which are within the scope of the present invention.

[0018]FIG. 1 illustrates an exemplary environment 100 incorporating certain disclosed embodiments. As shown in FIG. 1, environment 100 may include a terminal 102, a server 104, a cloud 110, a server 106, and a user 108. Certain device(s) may be omitted and other devices may be added. A user 108 may operate terminal 102 ...

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Abstract

The present invention provides a method for converting a low dynamic range (LDR) image to a high dynamic range (HDR) image, including obtaining an input LDR image; and in an HDR image database, selecting one or more HDR images that match the input LDR image as candidate images. Further, the candidate images are warped according to a spatial correspondence between the candidate images and the input LDR image. The input LDR image is decomposed to an illumination component and a texture component. The illumination component and the texture component are reconstructed respectively based on the warped candidate images. The reconstructed illumination component and the reconstructed texture component are combined to produce an output HDR image.

Description

FIELD OF THE DISCLOSURE[0001]The present disclosure relates to the field of image processing technologies and, more particularly, relates to a method and system for transferring low dynamic range (LDR) image to high dynamic range (HDR) image.BACKGROUND[0002]Transferring images from LDR to HDR has become of a new topic in image processing area. With the development of HDR display devices, the dynamic range of the display is getting larger. However, most image contents nowadays are in LDR, because the dynamic range of traditional camera is narrow. With the popularity of HDR display devices, there is an avid demand for transferring LDR images into HDR images to achieve a desired display effect on HDR screens.[0003]Among existing technologies, traditional inverse tone mapping methods only expand the illumination range while do not recover the saturated information in the over-exposure region. The HDR image hallucination methods can recover the saturated information in the over-exposure ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G06T5/00G06K9/00G06T7/40G06K9/62G06K9/46G06T3/00G06V10/20
CPCG06T5/009G06K9/4671G06T3/0093G06K9/00979G06K9/6214G06K9/6223G06T7/40H04N19/98H04N25/57H04N25/62G06T2207/20028G06T2207/20208G06V10/20G06V10/462G06V10/763G06F18/23211G06T5/90G06T2207/20221G06V10/95G06F18/23213G06T5/92G06T3/18
Inventor DAI, QIQINREN, XIAOBOWANG, HAOHONG
Owner TCL CORPORATION