In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and/or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

A lens apparatus is detachably attachable to an image pickup apparatus. The lens apparatus includes a notification unit configured to notify the image pickup apparatus of a type of the lens apparatus, and at least one processor or circuit configured to execute a plurality of tasks including a communication task configured to communicate with the image pickup apparatus. Via communication with the image pickup apparatus, the communication task transmits setting information for setting a white detection area to a white detection area different from a white detection area that corresponds to the type of the lens apparatus and is stored in the image pickup apparatus.

Embodiments relate to hue preservation post processing for highlight recovery of an input image. Intensity values for multiple color channels of a plurality of color channels of a pixel of the input image is determined using corresponding ratios of target hues for the plurality of color channels of the pixel, wherein the pixel has at least one color channel with an intensity above a predetermined threshold. A hue preserved value for a color channel of the plurality of color channels of the pixel is determined using intensity values determined for the plurality of color channels of the pixel and the target hues. A recovered version of the input image is generated by adjusting hue information of the pixel, using the hue preserved value for the channel of the plurality of color channels of the pixel.

An asymmetric image transmission method and an electronic device thereof are provided. The asymmetric image transmission method is applicable to transmission of an image signal from a transmitter to a receiver and includes: modifying, by the transmitter, a first image pixel length in the image signal that conforms to a four-byte mode to a second image pixel length of a three-byte mode; transmitting a plurality of image pixels of the second image pixel length in the three-byte mode respectively through three transmission lanes of a transmission interface; and modifying, by the receiver, the second image pixel length of the image pixels to the first image pixel length of the four-byte mode to obtain the image signal.

Disclosed is a signal processing device and an image display apparatus including the same. The signal processing device includes: a linear tone mapper configured to perform linear tone mapping on a part of an input image; a non-linear tone mapper configured to perform non-linear tone mapping on another part of the input image; and a combiner configured to combine an output from the linear tone mapper and an output from the non-linear tone mapper. Accordingly, it is possible to map the dynamic range of an input image to a display.

Embodiments are directed towards hue-based video enhancement. An example method includes processing low dynamic range (LDR) video content to generate an inverse tone map (ITM) for transforming the LDR video content to high dynamic range (HDR) video content, converting the LDR video content into Hue, Saturation and Lightness (HSY) color space to produce H-channel data, S-channel data, and Y-channel data, de-noising the H-channel data, remapping the de-noised H-channel data, the S-channel data, and the Y-channel data based on the ITM; and rendering the HDR video content based thereon.

An image processing system for modifying one or more images of a user to change a cardiovascular activity that is measurable from the one or more images, the system comprising: an image receiving section configured to receive image data comprising a plurality of image frames; a region selection section configured to select one or more regions where the colour of the skin of the user changes temporally in the image data, wherein the colour changes are indicative of the cardiovascular activity of the user; and a modifying section configured to modify the colour change of the one or more selected regions in one or more image frames to create modified image data, as described elsewhere herein.

A system accesses an image with each pixel of the image having luminance values each representative of a color component of the pixel. The system generates a first histogram for aggregate luminance values of the image, and accesses a target histogram for the image representative of a desired global image contrast. The system computes a transfer function based on the first histogram and the target histogram such that when the transfer function is applied, a histogram of the modified aggregate luminance values is within a threshold similarity of the target histogram. The system modifies the image by applying the transfer function to the luminance values of the image to produce a tone mapped image, and outputs the modified image.

A system is provided for generating video content with hue-preservation in virtual production. A processor determines data in a scene-based encoding format based on raw data received in a pre-defined format. The raw data includes a computer-generated background rendered on a rendering panel and a foreground object. Based on the data in the scene-based encoding format, scene linear data is determined. A saturation of the scene linear data is controlled when a first color gamut corresponding to the pre-defined format is mapped to a second color gamut corresponding to a display-based encoding color space. Based on the scene linear data, a standard dynamic range (SDR) video content in the display-based encoding color space is determined. Hue of the SDR video content is preserved, when the rendering panel is in-focus or out-of-focus, based on a scaling factor that is applied to three primary color values that describe the first color gamut.

An aspect of present principles is directed to methods and systems for gamut mapping colors from a either a source color gamut or a content color gamut towards a target color gamut. A source hue of the source specific colors and a source hue of the content specific colors is changed towards a target hue of the corresponding target specific colors. Color gamut mapping is performed for the source colors of either the whole source color gamut or the content color gamut towards the target color gamut based on the mapped specific colors. The specific colors are selected from primary colors, secondary colors, a group of primary colors and secondary colors.