Methods for improving and modifying a High Dynamic Range (HDR) scene, captured as a series of images of the scene with different exposure levels and the scene through classification-based image merging, tuning, correction, and replacement. The approach employs mixing images to improve the selection and display of both shadowed and highlighted details. The increased efficiency resulting from improvements in computational resource utilization of image processing hardware can, from the implementation of the improved computational methods herein, significantly reduce the time required to generate and display a tone-mapped HDR image, a gamma-corrected HDR image, and/or a segmented and replaced HDR image.

An image processing apparatus includes a hardware processor configured to: acquire a plurality of pieces of image information including image-capturing regions overlapping partially; to set first and second correction values with a predetermined value, the first correction value being used for correction of luminance of a first region of interest included in a first overlap region in which a first image-capturing region overlaps an adjacent second image-capturing region, the second correction value being used for correction of luminance of a second region of interest included in a second overlap region in which the first image-capturing region overlaps an adjacent third image-capturing region; and to set with the first and second correction values an individual correction value used for correction of luminance of a region between the first region of interest and the second region of interest in the first image-capturing region.

An image processing apparatus comprises a changing unit configured to change a display area of an image from a first display area to a second display area including at least a portion of the first display area, an acquiring unit configured to acquire a first value indicating luminance, in which brightness contrast is considered, in an image displayed in the first display area and a second value indicating luminance, in which brightness contrast is considered, in an image displayed in the second display area, and a correcting unit configured to correct luminance of the image displayed in the second display area based on the first value and the second value that are acquired by the acquiring unit.

Provided are an image processing method and device, a mobile terminal, and a storage medium. The method includes: acquiring a first image output by an image sensor; responsive to that a first signal value of the first image after being processed exceeds a saturation value of a first bit width at a preset image processing stage, recording the first signal value of the processed first image as a second signal value with a second bit width, the second bit width being greater than the first bit width; and mapping the second signal value recorded with the second bit width to a third signal value recorded with the first bit width to obtain a second image. Through the method, an operation of increasing a bit width can be used to retain more information of an image and improve the quality of the image, and an implementation is simple and effective.

A method includes: obtaining a plurality of view images; identifying a representative value from among difference values between values of a plurality of sub-pixels corresponding to a first position in the plurality of view images and an intermediate value of a bit range of a display; determining filtering strength corresponding to the representative value, based on a correspondence map indicating a correspondence relationship between filtering strength and a difference value between a value of a sub-pixel and the intermediate value; and applying a filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position, wherein a value resulting from applying the filter having the determined filtering strength to the plurality of sub-pixels corresponding to the first position is included in a range of sub-pixel values according to the bit range of the display.

A method for driving an electronic device is described. The method may include receiving light passing through a display panel, generating an image signal based on the light, compensating the image signal with a compensation algorithm to generate a compensated image signal, wherein the compensation algorithm is trained with training data including a first comparison image and a second comparison image, and displaying, on the display panel, a compensated image based on the compensated image signal, wherein the first comparison image is a target restoration image and the second comparison image is a composite image.

An image processing apparatus including a division unit configured to divide first image data having a first dynamic range into a plurality of regions, an obtaining unit configured to obtain distance information indicating a distance from a focal plane in each of the plurality of regions, a determining unit configured to determine a conversion characteristic of each of the plurality of regions based on the distance information, a conversion unit configured to convert each of the plurality of regions into second image data having a second dynamic range smaller than the first dynamic range by using the conversion characteristic determined by the determining unit, and a storage unit configured to store a first conversion characteristic and a second conversion characteristic that can be used for the conversion.

An image processing device is disclosed. The image processing device includes at least one first pixel having a first sensitivity, a second pixel having a second sensitivity different from the first sensitivity, a processor, and a synthesizer. The processor calculates a sampling position of the at least one first pixel and a sampling position of the second pixel, determines a reference position and adjusts the sampling position of the at least one first pixel or the second pixel based on the reference position.

Systems and methods are disclosed for image signal processing. For example, methods may include accessing an image from an image sensor; detecting an object area on the image; classifying the object area on the image; applying a filter to an object area of the image to obtain a low-frequency component image and a high-frequency component image; determining a first enhanced image based on a weighted sum of the low-frequency component image and the high-frequency component image, where the high-frequency component image is weighted more than the low-frequency component image; determining a second enhanced image based on the first enhanced image and a tone mapping; and storing, displaying, or transmitting an output image based on the second enhanced image.

A method includes detecting a gradation area in an input image, and performing, based on a detection result acquired by the detecting, for an area that is not the gradation area, gain processing on the input image by using a gain based on a first gain characteristic in which different gains are set depending on luminance values, whereas performing, for the gradation area, gain processing on the input image by using a gain in which an amount of change in gain with respect to a change in luminance value is more reduced than the first gain characteristic.