Method for inverse tone mapping of an image

Abstract

Method comprising, for each pixel, obtaining a pixel expansion exponent value (E'(p)) by low pass filtering luminance values of colors of pixels in its spatial neighborhood, obtaining a pixel luminance-enhancement value (Yenhance(p)) by extraction of high frequencies of luminance values of colors of pixels in its spatial neighborhood, and then inverse tone mapping the luminance (Y(p)) according to the equation Yexp(p) = Y(p)E'(p)x [Yenhance(p)]c.

Description

technical field [0001] The present invention relates to the field of high dynamic range imaging and in particular addresses extending the dynamic range of low dynamic range content to make these content ready for display by display devices with particularly high peak brightness. Background technique [0002] Recent developments in display technology have begun to allow an extended range of colors, brightness and contrast to be displayed. [0003] A technique that allows for the extension of the range of brightness or brightness of image content is known as high dynamic range imaging, often abbreviated as HDR. HDR technology focuses on capturing, processing and displaying content with a wider dynamic range. [0004] While some HDR display devices have emerged, and image cameras have been developed capable of capturing images with increased dynamic range, available HDR content is still very limited. While recent developments promise native capture of HDR content in the near ...

AI Technical Summary

Problems solved by technology

In the simplest case, clipped regions in the image can be detected and then expanded using a steep extension curve, but such schemes do not provide sufficient control over the appearance of the image

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