Methods and systems are described for processing an image captured with an image sensor, such as a camera. In one embodiment, an estimated ambient light level of the captured image is determined and used to compute an optical-optical transfer function (OOTF) that is used to correct the image to preserve an apparent contrast of the image under the estimated ambient light level in a viewing environment. The estimated ambient light level is determined by scaling pixel values from the image sensor using a function that includes exposure parameters and a camera specific parameter derived from a camera calibration.

An image processing device includes an image acquisition unit that acquires a captured image to be processed from a storage unit in which a captured image having first date/time information indicating a time of imaging is stored, a date/time information acquisition unit that acquires the first date/time information and acquires second date/time information indicating a date/time when the captured image to be processed is acquired, an elapsed date/time calculation unit that calculates an elapsed date/time from the time of imaging by making a comparison between the first date/time information and the second date/time information, and an image processing unit that selects image processing based on a length of the elapsed date/time from among a plurality of kinds of image processing that change according to the length of the elapsed date/time and performs the selected image processing on the captured image to be processed.

Disclosed in the present invention are an image purple fringe eliminating system, method, a computer-readable storage medium, and a photographing device. The system traverses an image, calculates a hue of a pixel, counts a ratio of purple hue to adjacent purple hue pixels in the image, and calculates a dynamic purple fringe detection threshold; creates a mask with the same size as the image acquired by an image acquisition module, and detects the pixels that fall into a purple fringe area; corrects the detected pixel falling into the purple fringe area, correcting both a red channel intensity value and a blue channel intensity value of the pixels within the purple fringe region using a green channel intensity value. The invention can automatically correct the purple fringe of the image, improve the image shooting quality and the user experience.

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.

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 mechanism is described for facilitating gamut mapping architecture and processing for color reproduction in image processing environments, according to one embodiment. A method of embodiments, as described herein, includes one or more processors to: compute one or more of gamut boundary descriptors and mapping configurations associated with a colored image captured using one or more cameras; and perform gamut mapping of color representation of the image based on the one or more of the gamut boundary descriptors and the mapping configurations, wherein the gamut mapping to facilitate color reproduction of the image.

An image processing apparatus that causes an effect of emission of virtual light to be applied in a captured image includes an acquisition unit, a determination unit, and a correction unit. The acquisition unit is configured to acquire ambient light distribution information in the captured image. The determination unit is configured, based on the ambient light distribution information acquired by the acquisition unit, to determine a color characteristic of a virtual light source that is a light source of the virtual light. The correction unit is configured, based on the color characteristic of the virtual light source determined by the determination unit, to make a correction by which the effect of the virtual light is applied in a partial area of the captured image.

The color correction method in accordance with an embodiment of the present invention can comprise the steps of: acquiring an image from a captured image; detecting the face and eyes from the captured image; separating the sclera and pupil of the detected eye(s); correcting the image by comparing the areas of the sclera and pupil extracted by separating the sclera and pupil with the reference values stored in a database; and extracting the skin color of the face from the corrected image.

An image processing method includes: obtaining a facial skin tone area in an image to be processed; filtering the image to be processed to obtain a filtered smooth image; obtaining a high-frequency image based on the smooth image and the image to be processed; obtaining a facial skin tone high-frequency image based on the high-frequency image and a facial skin tone mask; and superimposing the high-frequency image and the image to be processed based on the facial skin tone mask and preset first superimposition strength in a luma channel, and superimposing a luma channel signal of the facial skin tone high-frequency image onto a luma channel signal of the image to be processed, to obtain a first image.

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.