초록 ▼

A foveated imaging system, which can be implemented on a general purpose computer and greatly reduces the transmission bandwidth of images has been developed. This system has demonstrated that significant reductions in bandwidth can be achieved while still maintaining access to high detail at any po

A foveated imaging system, which can be implemented on a general purpose computer and greatly reduces the transmission bandwidth of images has been developed. This system has demonstrated that significant reductions in bandwidth can be achieved while still maintaining access to high detail at any point in an image. The system is implemented with conventional computer, display, and camera hardware. It utilizes novel algorithms for image coding and decoding that are superior both in degree of compression and in perceived image quality and is more flexible and adaptable to different bandwidth requirements and communications applications than previous systems. The system utilizes novel methods of incorporating human perceptual properties into the coding the decoding algorithms providing superior foveation. One version of the system includes a simple, inexpensive, parallel pipeline architecture, which enhances the capability for conventional and foveated data compression. Included are novel applications of foveated imaging in the transmission of pre-recorded video (without eye tracking), and in the use of alternate pointing devices for foveation.

대표청구항 ▼

[ We claim:] [1.]1. A method for forming a compressed image, the method comprising:acquiring an image;reducing the image with a Foveated Laplacian pyramid algorithm to form a plurality of down-sampled images, the down-sampled images decreasing in resolution from a highest to a lowest resolution;desi

[ We claim:] [1.]1. A method for forming a compressed image, the method comprising:acquiring an image;reducing the image with a Foveated Laplacian pyramid algorithm to form a plurality of down-sampled images, the down-sampled images decreasing in resolution from a highest to a lowest resolution;designating a subset of each of the plurality of down-sampled images to form a plurality of subset images; andprocessing the lowest resolution down-sampled image with the plurality of subset images to form the compressed image.