Jin Zhou

US Patent:

20070146236, Jun 28, 2007

Filed:

Feb 28, 2007

Appl. No.:

11/680312

Inventors:

Louis Kerofsky - Camas WA, US
Jin Zhou - Tempe AZ, US

International Classification:

G09G 5/00

US Classification:

345007000

Abstract:

Embodiments of the present invention comprise methods and systems for brightness preservation using a smoothed gain map.

US Patent:

20090141178, Jun 4, 2009

Filed:

Nov 30, 2007

Appl. No.:

11/948978

Inventors:

Louis J. Kerofsky - Camas WA, US
Jin Zhou - Tempe AZ, US

International Classification:

H04N 5/14

US Classification:

348700, 348E05062

Abstract:

Elements of the present invention relate to systems and methods for filtering a display source light illumination level with an adaptive filter based on the presence of a scene cut proximate to the current frame.

US Patent:

20150235350, Aug 20, 2015

Filed:

Feb 18, 2014

Appl. No.:

14/183258

Inventors:

- Rockville MD, US
Jin ZHOU - North Potomac MD, US

Assignee:

Signal Processing, Inc. - Rockville MD

International Classification:

G06T 5/00

Abstract:

A method for removing noise from a noisy image includes a few important steps. The noise level of the noisy image is first estimated based on the smooth blocks of the image. The original image is divided into many small blocks. Each of these blocks is then converted from a two dimensional matrix to vector, which is a one dimensional array. The converted vectors are next grouped and then a matrix recovery process based on a principal component analysis (PCA) has been performed in order to remove the noise, wherein the key is to determine the number of principal components to retain during the denoising process. Next, the denoised vectors are converted back to the denoised blocks, and the denoised blocks are used to reconstruct a denoised image with a better image quality.