Patents by Inventor Chon Le Dinh

Chon Le Dinh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20060268980
    Abstract: A new approach to objective quality assessment of DCT-coded video sequences, with or without a reference is proposed. The system is comprised of a proprietary segmentation algorithm, a feature extraction process and a nonlinear feed-forward-type neural network for feature analysis. The methods mimic function of the human visual system (HVS): A neural network training algorithm is used for determining the optimal network weights and biases for both system modes of operation. The proposed method allows for assessment of DCT-coded video sequences without the original source being available (pseudo-reference mode). The pseudo-reference mode is also comprised of a proprietary DCT-coded video (MPEG) noise reducer (MNR), co-pending patent application no. 60/592,143.
    Type: Application
    Filed: March 24, 2006
    Publication date: November 30, 2006
    Inventors: Chon Le Dinh, Francois Rossignol, Hong Nguyen
  • Publication number: 20060139376
    Abstract: The present description discloses a method for resizing an input image having input pixels. The method comprises segmenting the input made into region types by assigning one of the region types to each one of the input pixels; and interpolating the input image according to the region type assigned to each one of the input pixels to produce a resized image having interpolated pixels.
    Type: Application
    Filed: July 29, 2005
    Publication date: June 29, 2006
    Inventors: Chon Le Dinh, Ngoc Nguyen
  • Publication number: 20060056724
    Abstract: A non-iterative 3D processing method and system is disclosed for generic noise reduction. The 3D noise reducer is based on a simple conversion of the five types of noise to equivalent additive noise of varying statistics. The proposed technique comprises also an efficient temporal filtering technique which combines Minimization of Output Noise Variance (MNV) and Embedded Motion Estimation (EME). The proposed temporal filtering technique may be furthermore combined with classical motion estimation and motion compensation for more efficient noise reducer. The proposed technique comprises also a spatial noise reducer which combines Minimum Mean Squared Error (MMSE) with robust and effective shape adaptive windowing (SAW) is utilized for smoothing random noise in the whole image, particularly for edge regions. Another modification to MMSE is also introduced for handling banding effect for eventual excessive filtering in slowly varying regions.
    Type: Application
    Filed: July 29, 2005
    Publication date: March 16, 2006
    Inventors: Chon Le Dinh, Duong Nguyen, Thi Hien Nguyen
  • Publication number: 20060050783
    Abstract: An efficient and non-iterative 3D post processing method and system is proposed for mosquito noise reduction, block localization and correction in DCT block-based decoded images. The 3D post processing is based on a simple classification that segments a picture in multiple regions such as Edge, Near Edge, Flat, Near Flat and Texture regions. The proposed technique comprises also an efficient and shape adaptive local power estimation for equivalent additive noise and provides simple noise power weighting for each above cited region. Temporal filtering configurations using Minimum Noise Variance Criterion are proposed for reducing temporally varying coding artifacts. A Minimum Mean Square Error or Minimum Mean Square Error-like noise reduction with robust and effective shape adaptive windowing is utilized for smoothing mosquito and/or random noise for the whole image, particularly for Edge regions.
    Type: Application
    Filed: July 29, 2005
    Publication date: March 9, 2006
    Inventors: Chon Le Dinh, Ha Viet, Ngoc Nguyen, Duong Nguyen, Thanh Hien Nguyen