Digital camera

About: Digital camera is a research topic. Over the lifetime, 12169 publications have been published within this topic receiving 137431 citations. The topic is also known as: digicam & digital still camera.

A Low-Cost Megapixel Digital Camera Using High-Performance in-Camera Image Processing.

Abstract: Digital cameras are becoming more powerful and afforda with each product generation. This paper describes a n generation digital camera that optimizes image quality a ease of use. Excellent image quality is obtained employing a megapixel CCD sensor and advanced im processing algorithms. A 1.8” color LCD and a ne graphical user interface (GUI) guide the user through operation of the camera. The camera has a 2X zoom lens, real image opti viewfinder, and a “camera like” industrial design. A host “traditional” camera features are supported, including se timer, five flash modes, macro mode, and exposu compensation. These features are augmented by dig camera features including preview (live viewfinder), insta image review, in-camera finished files (Exif/JPEG an FlashPix image formats) and video output. Significant digital signal processing power is require to implement the image processing algorithms and the G A 60 MHz RISC processor with an on-board 16-bit DS coprocessor provides all of the camera image and disp processing functions. The image processing functio include color filter array interpolation, white balance, colo and tone correction, edge enhancement, thumbnail im generation, JPEG image compression, and file formatting

Authentication stamping in a digital camera

Abstract: Digital cameras and methods for using digital cameras incorporate or append authentication stamps in digital images. Each authentication stamp contains information that is useful in authenticating the source of a digital image, and thus an authentication process can use the authentication stamp to determine whether the digital image is authentic or was modified outside the camera.

Flexible memory management for video and still image data in a digital camera

Abstract: The memory of a digital camera is flexibly managed. When memory is available the camera will use it to capture the highest possible quality and highest possible resolution images. The user is allowed to specify a decrease and increase to the quality and compression settings of the image through the camera's user interface, effecting the size of the image file in memory. (always within the bounds of what can be supported by the amount of image data actually captured by the camera). The user specified settings are applied by the camera to the image data at a later time (e.g. only when the image data is finally downloaded to the host pc). In addition, the camera can store more data even after the memory is full. In one embodiment, the user can input through the camera's user interface an increase in the quality (e.g., resolution/compression level or other such parameters) of an image or video file, after capturing and reviewing it, even after other data are subsequently captured on the camera. This can be done by storing data at a high quality setting when memory is available, and re-storing the data at a lesser quality if additional memory is not available. If memory is not available to store any additional data, and the user still attempts to capture additional data, data already stored on the device (and/or the attributes of the additional data) can be adjusted in order to make room for permanent storage of additional data on the camera.

Miniature lightweight digital camera for robotic vision system applications

Abstract: A robot arm with a vision system affixed thereto. A gripper acquires and object at an acquisition site and carries the object to a target site. During travel the position of the object is determined by the vision system viewing the object in two positions.

Superresolution images reconstructed from aliased images

Abstract: In this paper, we present a simple method to almost quadruple the spatial resolution of aliased images. From a set of four low resolution, undersampled and shifted images, a new image is constructed with almost twice the resolution in each dimension. The resulting image is aliasing-free. A small aliasing-free part of the frequency domain of the images is used to compute the exact subpixel shifts. When the relative image positions are known, a higher resolution image can be constructed using the Papoulis-Gerchberg algorithm. The proposed method is tested in a simulation where all simulation parameters are well controlled, and where the resulting image can be compared with its original. The algorithm is also applied to real, noisy images from a digital camera. Both experiments show very good results.