An image display method, adapted to an electronic device having a screen, an image capturing unit, and a light sensor, includes the following steps. A preview image captured by the image capturing unit is received and processed so as to generate a plurality of pixel luminance values of the preview image. A light illumination of an ambient light detected by the light sensor is received. An output Gamma lookup table among a plurality of Gamma lookup table is selected according to the pixel luminance values and the light illumination of the ambient light. An adjusted pixel luminance value corresponding to each of the pixel luminance values is generated based on the output Gamma lookup table so as to accordingly display the preview image on the screen with sunlight readability. An electronic device is further provided in the invention to implement the above method.

An image display method, adapted to an electronic device having a screen, an image capturing unit, and a light sensor, includes the following steps. A preview image captured by the image capturing unit is received and processed so as to generate a plurality of pixel luminance values of the preview image. A light illumination of an ambient light detected by the light sensor is received. An output Gamma lookup table among a plurality of Gamma lookup table is selected according to the pixel luminance values and the light illumination of the ambient light. An adjusted pixel luminance value corresponding to each of the pixel luminance values is generated based on the output Gamma lookup table so as to accordingly display the preview image on the screen with sunlight readability. An electronic device is further provided in the invention to implement the above method.

In a reproduction method, a first video stream has a first dynamic range where a maximum value of a luminance dynamic range is more than 100 nits, and a display apparatus displays video in a second dynamic range narrower than the first dynamic range. The method determines whether the first video stream is quantized based on a hybrid OETF. When it is determined that the first video stream is quantized based on the hybrid OETF, the first video stream is reproduced. When it is determined that the first video stream is not quantized based on the hybrid OETF, a luminance dynamic range of the first video stream is converted from the first dynamic range to the second dynamic range to obtain a second video stream, and the second video stream is reproduced.

In a reproduction method, a first video stream has a first dynamic range where a maximum value of a luminance dynamic range is more than 100 nits, and a display apparatus displays video in a second dynamic range narrower than the first dynamic range. The method determines whether the first video stream is quantized based on a hybrid OETF. When it is determined that the first video stream is quantized based on the hybrid OETF, the first video stream is reproduced. When it is determined that the first video stream is not quantized based on the hybrid OETF, a luminance dynamic range of the first video stream is converted from the first dynamic range to the second dynamic range to obtain a second video stream, and the second video stream is reproduced.

An image generator configured to generate a face detecting image used in face detection processing of detecting a face from an image, has a representative luminance calculator that calculates a representative luminance value representing a luminance value of each pixel of a photographed image obtained by photographing; and a gamma converter that generates the face detecting image by performing gamma conversion processing on the photographed image. The luminance value of each pixel of the image is converted using a predetermined gamma value. The gamma converter performs the gamma conversion processing using a first gamma value when the representative luminance value calculated by the representative luminance calculator is greater than or equal to a predetermined threshold.

An image generator configured to generate a face detecting image used in face detection processing of detecting a face from an image, has a representative luminance calculator that calculates a representative luminance value representing a luminance value of each pixel of a photographed image obtained by photographing; and a gamma converter that generates the face detecting image by performing gamma conversion processing on the photographed image. The luminance value of each pixel of the image is converted using a predetermined gamma value. The gamma converter performs the gamma conversion processing using a first gamma value when the representative luminance value calculated by the representative luminance calculator is greater than or equal to a predetermined threshold.

An apparatus and related methods for enhancing low dynamic range and high dynamic range digital images. The process converts single digital images into a form that can be shown on traditional electronic and computer displays and paper prints through luminance mapping and tone mapping functions. These functions require the calculation of values for each pixel within the digital image. The values calculated include, but are not limited to, color, grey-level, and luminance. The present apparatus and method builds upon the tone mapping process by combining log-average luminance values of various sized neighborhood tiles with the global log-average luminance of the entire image.

An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.

A method for harmonizing colors of an original image is disclosed. The method comprises: computing a saliency map of the original image, for each of a plurality of color harmonic schemes: determining a temporary harmonized image from the original image according to the current color harmonic scheme, computing a saliency map of the temporary harmonized image, comparing the saliency map of the original image and the saliency map of the temporary harmonized image, in order to obtain a saliency comparison result, computing a corrected color comparison result from colors of the original image, colors of the current color harmonic scheme and the saliency comparison result, selecting, as the harmonized image, the temporary harmonized image obtained with the color harmonic scheme minimizing the corrected color comparison result.

A display driver comprises drop amount calculation circuitry and digital gamma correction circuitry. The drop amount calculation circuitry is configured to calculate a drop amount of a power source voltage supplied to a display panel from a setting value. The digital gamma correction circuitry is configured to perform digital gamma correction on an input image data based on the drop amount.