An organic light-emitting display includes a first substrate which includes a pixel region, and an encapsulation region which surrounds the pixel region, an organic light-emitting device which is located in the pixel region, a sealant which is located in the encapsulation region, and a dummy metal which is interposed between the first substrate and the sealant, where the encapsulation region includes a first encapsulation region and a second encapsulation region which is adjacent to the first encapsulation region, and the dummy metal is located in the first encapsulation region.

Organic light emitting display

A mobile terminal and a method of controlling a mobile terminal may be provided. The mobile terminal may include a display to display one of a plurality of wallpapers including at least one icon; and a controller to display at least two of the plurality of wallpapers and a plurality of preview screens corresponding to the plurality of wallpapers on the display upon reception of an input of moving at least one icon, moving of the at least one icon being displayed on the displayed wallpapers and preview screens. The mobile terminal can display a movement of icon being displayed on the displayed wallpapers and preview screens. Accordingly, a user may intuitively recognize a location of icon and effectively move a location of icon.

Mobile terminal and method of controlling the same

Image quality assessment (IQA) has been a topic of intense research over the last several decades. With each year comes an increasing number of new IQA algorithms, extensions of existing IQA algorithms, and applications of IQA to other disciplines. In this article, I first provide an up-to-date review of research in IQA, and then I highlight several open challenges in this field. The first half of this article provides discuss key properties of visual perception, image quality databases, existing full-reference, no-reference, and reduced-reference IQA algorithms. Yet, despite the remarkable progress that has been made in IQA, many fundamental challenges remain largely unsolved. The second half of this article highlights some of these challenges. I specifically discuss challenges related to lack of complete perceptual models for: natural images, compound and suprathreshold distortions, and multiple distortions, and the interactive effects of these distortions on the images. I also discuss challenges related to IQA of images containing nontraditional, and I discuss challenges related to the computational efficiency. The goal of this article is not only to help practitioners and researchers
keep abreast of the recent advances in IQA, but to also raise awareness of the key limitations of current IQA knowledge.

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Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

A display device and a method for controlling the same are disclosed in which a threshold range for generating a panorama image is indicated in accordance with a bending angle of a bending portion provided between a first area of a body provided with a first camera and a second area of a body provided with a second camera, whereby the panorama image may be generated using the first camera and the second camera.

Display device and method for controlling the same

In a display apparatus and a driving method thereof, a detector determines whether a timing controller is operated in a three-dimensional (3D) mode or a two-dimensional (2D) mode to output a first or second mode signal according to a result of the determination. A compensator compensates for a gamma value of a 3D image to be increased in response to a first mode signal when the 2D mode is converted to the 3D mode and decreases an increased gamma value to a gamma value for a 2D image in response to a second mode signal when the 3D mode is converted to the 2D mode.

Display apparatus and method of driving the same

Provided is a method for rendering image signals, which represent a predetermined number of colors, in an apparatus used for rendering an image signal that has a plurality of pixels composed of three different sub-pixels among four or more different sub-pixels. The method for rendering image signals comprises (a) selecting three-color signals out of the four or more color signals to be outputted according to a type of sub-pixel, which forms a predetermined pixel, (b) obtaining values of the selected three-color signals in peripheral pixels of the pixels, (c) calculating brightness values of each sub-pixel of the pixel by using the values of the selected three-color signals and corresponding color signal values of the peripheral pixels, and (d) driving a display, which controls brightness of an image that is represented in the display according to the calculated brightness values of sub-pixels.

Method and apparatus for rendering image signal

An image sensor is provided which includes a multilayer structure having a first light receiving unit to extract a signal corresponding to color information of incident light of a visible region and a second light receiving unit to extract a signal corresponding to light of an infrared region and white light corresponding to the visible region.

Multilayer image sensor

An image photographing apparatus and method, and more particularly, an image photographing apparatus and method that may divide each unit sensor of an image sensor into a high-sensitivity sensor and a low-sensitivity sensor and sense an incident optical signal using the high-sensitivity sensor and the low-sensitivity sensor. The image photographing apparatus may include a light reception unit receiving an optical signal, a sensor unit sensing the optical signal, which is incident to a pixel region, using a plurality of sensors with different sensitivity and converting the sensed optical signal into a plurality of electrical signals, and a signal extraction unit extracting the quantity of accumulated electric charge for the optical signal, which was sensed by each of the sensors, with reference to each of the electrical signals.

Image photographing apparatus and method

A method and an apparatus for adaptively enhancing a color of an image are provided. The apparatus includes a saturation component deriving unit, a saturation enhancement function determining variable calculator, a saturation enhancement unit, and a saturation component synthesizing unit. The saturation component deriving unit derives a saturation component from an input image. The saturation enhancement function determining variable calculator determines a saturation enhancement function used to enhance the saturation of the input image based upon a predetermined reference value. The saturation enhancement unit changes the derived saturation component using the saturation enhancement function. The saturation component synthesizing unit synthesizes the changed saturation component and other components of the input image and generates an output image based upon the synthesized components.

Method and apparatus for adaptively enhancing colors in color images

Disclosed is an apparatus to blend a high dynamic range (HDR) image or a plurality of images captured with different exposure settings to multiple images, and a method thereof. A multiple image blender receives a high dynamic range (HDR) image or a plurality of images captured with different exposure settings, and controls setting of one or more areas of interest or setting of one or more gradation levels, and combines and blends the HDR image or the plurality of images captured with different exposure settings corresponding to each area of interest or at each gradation level, and generates at least one multi-exposure image.

Won-Hee Choe

Papers

Method and apparatus for rendering image signal

Multilayer image sensor

Image photographing apparatus and method

Method and apparatus for adaptively enhancing colors in color images

Apparatus and method for blending multiple images