An electronic apparatus includes: an image sensor for acquiring pixel values of first pixels sensed during a first exposure time and second pixels sensed during a second exposure time longer than the first exposure time; and a controller for outputting an output image acquired based on pixel values of the first pixels and a corrected saturated pixel value obtained by correcting a pixel value of a saturated pixel having a pixel value exceeding a threshold value among the second pixels, using a pixel value of at least one first pixel having a distance closest to a position of the saturated pixel among the first pixels.

An electronic apparatus includes: an image sensor for acquiring pixel values of first pixels sensed during a first exposure time and second pixels sensed during a second exposure time longer than the first exposure time; and a controller for outputting an output image acquired based on pixel values of the first pixels and a corrected saturated pixel value obtained by correcting a pixel value of a saturated pixel having a pixel value exceeding a threshold value among the second pixels, using a pixel value of at least one first pixel having a distance closest to a position of the saturated pixel among the first pixels.

In a system for coding high dynamic range (HDR) images using lower-dynamic range (LDR) images, a reshaping function allows for a more efficient distribution of the codewords in the lower dynamic range images for improved compression. A trim pass of the LDR images by a colorist may satisfy a director's intent for a given “look,” but may also result in unpleasant clipping artifacts in the reconstructed HDR images. Given an original forward reshaping function which maps HDR luminance values to LDR pixel values, a processor identifies areas of potential clipping and generates modified forward and backward reshaping functions to reduce the visibility of potential artifacts from the trim pass process while preserving the director's intent.

Provided are an image composition apparatus for composing color images with black-and-white images including infrared components, and an image composition method thereof The image composition method includes generating a first image signal with color information and a second image signal including infrared components without color information, dividing the first image signal into a brightness signal and a color signal, composing the brightness signal of the first image signal with a brightness signal of the second image signal to generate a composed brightness signal, and composing the composed brightness signal with the color signal of the first image signal to generate a color image.

Provided are an image composition apparatus for composing color images with black-and-white images including infrared components, and an image composition method thereof The image composition method includes generating a first image signal with color information and a second image signal including infrared components without color information, dividing the first image signal into a brightness signal and a color signal, composing the brightness signal of the first image signal with a brightness signal of the second image signal to generate a composed brightness signal, and composing the composed brightness signal with the color signal of the first image signal to generate a color image.

Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations.

A video signal conversion method, a corresponding video signal conversion device and a display system including the video signal conversion device, by which low-resolution video signals can be converted and combined into a high-resolution video signal, such that a high-resolution image combined by low-resolution images can be displayed on an ultra-high definition display screen. The video signal conversion method includes: receiving in parallel a plurality of sub-frames divided from a low-resolution image of a video signal; performing image processing on each of the received sub-frames; and synthesizing the plurality of sub-frames after being subjected to the image processing into a high-resolution image frame and displaying the high-resolution image on a display device.

A video signal conversion method, a corresponding video signal conversion device and a display system including the video signal conversion device, by which low-resolution video signals can be converted and combined into a high-resolution video signal, such that a high-resolution image combined by low-resolution images can be displayed on an ultra-high definition display screen. The video signal conversion method includes: receiving in parallel a plurality of sub-frames divided from a low-resolution image of a video signal; performing image processing on each of the received sub-frames; and synthesizing the plurality of sub-frames after being subjected to the image processing into a high-resolution image frame and displaying the high-resolution image on a display device.

An image processing apparatus is configured to: acquire a correction factor from a recording unit for recording, for each of a plurality of pixels, the correction factor for correcting a difference in pixel value corresponding to a difference between a spectral sensitivity and a preset reference spectral sensitivity in a predetermined wavelength range at a pixel of interest, based on image data generated by an image sensor, the image sensor having the plurality of pixels on which color filters of a plurality of colors with different spectral transmittances are respectively located, the color filters forming a predetermined array pattern; calculate a correction amount for correcting a pixel value of the pixel of interest based on the correction factor at the pixel of interest and pixel values of pixels surrounding the pixel of interest; and correct the pixel value of the pixel of interest by using the correction amount.

Various examples of a system for peanut sorting and grading are disclosed herein. The system for grading peanut maturity, can include: a sample feeder configured to supply individual peanuts to an imaging area; a sorting board comprising a plurality of chutes and a plurality of gates, each chute of the plurality of chutes designated for a grade of peanut; and program instructions to obtain the digital image of the individual peanut; determine the grade of the individual peanut; and sort the individual peanut based on the grade of the individual peanut. A method for grading peanut maturity, can include feeding an individual peanut to an imaging area; obtaining a digital image of the individual peanut; determining a grade of the individual peanut based on an average color; and sorting the individual peanut in a chute of a sorting board based on the grade of the individual peanut.