Abstract: A system including methodology for optimizing/customizing display or rendering of requested images is described. In one embodiment, the system provides on-demand creation of images that are customized for a particular device type. The system comprises a module serving as a repository for images, each image comprising image components arranged into distinct layers; a module for processing a request from a device for retrieving a particular image from the repository, the module determining a particular device type for the device based in part on information contained in the request; and a module for creating a copy of the particular image that is customized for the device, the module individually rendering image components in the distinct layers of the particular image based on the determined device type, such that at least some of the image components in the distinct layers of the particular image are customized for the device.

Abstract: A system providing methods for improved compression of images that have been compressed using Discrete Cosine Transform (DCT) based compression is described. A digital image that has been compressed using DCT based compression, such as an image compressed using the Joint Photographic Experts Group (JPEG) compression scheme, is received and partially decompressed to generate DCT coefficients of the image. The decoded coefficients of the image are then rearranged to aggregate like frequencies together. After rearrangement, the image is recompressed using a wavelet-based compression scheme.

Abstract: An improved method for automatic exposure control at a digital camera is described. In response to a user request for capture of a digital image, image data is captured on the camera's image sensor. The captured image data includes pixel values of brightness of pixels of the image sensor. A histogram of pixel values is generated based upon brightness of pixels of the image sensor. The histogram that is generated is then evaluated to determine whether an image is overexposed or underexposed. Coarse exposure settings for capture of a digital image are automatically generated based upon scaling the histogram of pixel values towards the midpoint of a pre-selected interval. The coarse exposure settings and image data that have been captured are evaluated to determine whether light sources are present. In the event that light sources are determined not to be present, the coarse exposure settings are adjusted based upon not scaling said histogram beyond the largest histogram value.

Abstract: An in-camera two-stage compression implementation is described that reduces the latency between snapshots to a fraction of that otherwise required by other systems that either process complete compression following each snapshot or that incorporate heavy, bulky, and expensive RAM hardware capable of maintaining several raw luminosity records (unprocessed file containing a digital image). In the 1st stage compression the raw luminosity record is quickly, yet partially, compressed to available RAM buffer space to allow a user to expeditiously capture a succeeding image. When the higher-priority processes, the user shooting pictures, and stage one compression subside, a 2nd stage compression, which is slower but more effective, decompresses the earlier partially-compressed images, and re-compresses them for saving in flash memory until they are distributed to a remote platform to be finally converted to the JPEG2000 format.