Abstract: An aspect of present principles is directed to methods, apparatus, systems and computer readable media for image processing. The image processing may include receiving a standard dynamic range (SDR) image or a receiver for receiving a standard dynamic range (SDR) image. It may further include determining an over-exposed region of the SDR image and determining a corrected luminance value for at least a pixel of the over-exposed region, or a processor configured to determine an over-exposed region of the SDR image and a corrected luminance value for at least a pixel of the over-exposed region. The corrected luminance value is determined based on at least one of a shape of the over-exposed region, luminance information of pixels surrounding the over-exposed region, and edge information of the pixels surrounding the over-exposed region. The over-exposed region may be an irregularly shaped region.

Abstract: The present invention proposes to provide methods, apparatus and systems for inverse tone mapping of a high dynamic range image. The method may include the operations of obtaining a luminance component of the high dynamic range image. The method may further include determining an HDR to HDR inverse tone mapper operator. The method may further include determining a tone expanded image by applying the HDR to HDR inverse tone mapper to the luminance component of the high dynamic range image. The method may further include wherein the HDR to HDR inverse tone mapper curve comprises a linear part for dark and mid-tone levels, and an expanding non-linear part for highlights. The system or apparatus may be configured to perform the operations of the method.

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)×[Yenhance(p)]c.

Abstract: The present invention relates in general to a method of high dynamic range (HDR) digital imaging and determining and setting exposure parameters for detection of image data by an imaging device, such as a digital camera, to produce a high dynamic range (HDR) image of a scene. The method includes setting an exposure (Ei+1) for a next frame (fi+1) as a function of the current exposure (Ei), of a first brightness distribution (Hfulli) of colors of pixels of the current frame (fi) and of a second brightness distribution (Hmotioni) of colors of those pixels weighted by the motion of those pixels, such that motion is evaluated for those pixels in comparison with a previous frame (fi), capturing the next frame (fi+1) under the set exposure (Ei+1) and merging the next frame (fi+1) with at least the current frame (fi) into an HDR image.

Abstract: Embodiments of the invention relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that facilitate the prediction of the appearance of color in images for different viewing environments, including high dynamic range images. In some embodiments a method can modify color associated with a source environment at a target environment. The method can include applying different non-linear functions to transform subsets of data representing a color of a sample at the source environment into transformed subsets of data, and generating data representing a chroma correlate as an appearance correlate independent of data representing a hue-related correlate. The chroma correlate can be configured to generate the color at a device at the target environment.

Abstract: Embodiments relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that detect light sources in images to facilitate the prediction of the appearance of color for the images in different viewing environments and/or dynamic range modification based on the light sources (e.g., perceived light sources). In some embodiments, a method includes detecting pixels representing a portion of an image, specifying that a subset of pixels for the image portion is associated with a light source, and determining a parameter for the subset of pixels, the parameter being configured to generate a color in a reproduced image that includes the image portion. In one embodiment, light sources are detected to facilitate converting between high dynamic ranges and low dynamic ranges of luminance values.

Abstract: Embodiments relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that detect light sources in images to facilitate the prediction of the appearance of color for the images in different viewing environments and/or dynamic range modification based on the light sources (e.g., perceived light sources). In some embodiments, a method includes detecting pixels representing a portion of an image, specifying that a subset of pixels for the image portion is associated with a light source, and determining a parameter for the subset of pixels, the parameter being configured to generate a color in a reproduced image that includes the image portion. In one embodiment, light sources are detected to facilitate converting between high dynamic ranges and low dynamic ranges of luminance values.

Abstract: Embodiments of the invention relate generally to image and display processing, and more particularly, to systems, apparatuses, integrated circuits, computer-readable media, and methods that facilitate the prediction of the appearance of color in images for different viewing environments, including high dynamic range images. In some embodiments a method can modify color associated with a source environment at a target environment. The method can include applying different non-linear functions to transform subsets of data representing a color of a sample at the source environment into transformed subsets of data, and generating data representing a chroma correlate as an appearance correlate independent of data representing a hue-related correlate. The chroma correlate can be configured to generate the color at a device at the target environment.