Larry C Allen

US Patent:

6459430, Oct 1, 2002

Filed:

Feb 17, 1999

Appl. No.:

09/251696

Inventors:

Winarto Kusumo-Rahardjo - Irvine CA
Larry M. Allen - Anaheim CA

Assignee:

Conexant Systems, Inc. - Newport Beach CA
Brooktree Corporation - Newport Beach CA
Brooktree Worldwide Sales Corporation - Newport Beach CA
Conexant Systems Worldwide, Inc. - Newport Beach CA

International Classification:

G09G 500

US Classification:

345428, 345667, 345698

Abstract:

A system and method for implementing multi-level resolution conversion (MLRC) of a set of image pixels efficiently using linear interpolation. The system automatically generates equations for determining the values of output pixels in a real-time manner as a function of the input pixels and a desired resolution conversion. As the input pixel values are received, the MLRC system generates the pixel values in real-time at a rate required for the output resolution without requiring a large number of intermediate complex calculations to be stored in memory. The pixel values utilized in the equations are normalized and scaled to values within a predetermined normalization range in order to minimize the complexity of the calculations performed by the MLRC system. The method of implementing MLRC allows the system to be implemented in an efficient and economical manner by eliminating the continual use of a floating point divider, minimizing the amount of memory required to perform the resolution conversion, and simplifying the calculations necessary for performing the resolution conversion.

US Patent:

7265873, Sep 4, 2007

Filed:

Apr 13, 1999

Appl. No.:

09/290854

Inventors:

Winarto Kusumo-Rahardjo - Irvine CA, US
Larry M. Allen - Anaheim CA, US

Assignee:

Conexant Systems, Inc. - Newport Beach CA

International Classification:

H04N 1/409
G06T 5/00
G06T 7/00

US Classification:

358 21, 358 327, 358462, 358465, 382176, 382199, 382266

Abstract:

An image processing system that performs edge-enhancement on an image. The image processing system processes a region of the image at a given time. One specific pixel of an image region is compared to several surrounding pixels to determine the existence of a black edge or a white edge in the image. Additionally, the image processing system includes a classifier that determines whether the image is substantially text-like or substantially photo-like. When the image is substantially text-like, a dynamic black threshold is used to determine the existence of a black edge within the image. The dynamic black threshold is modified during the processing of the image by the image processing system as a function of the relationship between the one specific pixel to at least one other of the several surrounding pixels. The image processing system selectively applies a first threshold scheme or a second threshold scheme upon identification to the image depending on the characteristics of the one specific pixel. Using the image processing system as described herein, high frequency content, namely the sharpness of the image, is preserved while low frequency content within the image is maintained smooth thereby providing a high visually perceptually quality of the image after having performed image processing.