Patents by Inventor Alireza Shoa Hassani Lashdan

Alireza Shoa Hassani Lashdan 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).

  • System and method for scalar quantization error reduction
    Patent number: 8811735
    Abstract: To reduce artifacts caused by quantization errors in image compression systems, an offset is added to quantized samples at low frequency sections of a macroblock. A decoder uses the offset after decoding to bring the decoded sample closer to the original pre-encoded and pre-quantized sample, thereby compensating for quantization errors.
    Type: Grant
    Filed: August 21, 2012
    Date of Patent: August 19, 2014
    Assignee: Sigma Designs, Inc.
    Inventor: Alireza Shoa Hassani Lashdan
  • System and method for fixed rate entropy coded scalar quantization
    Patent number: 8754792
    Abstract: A system and method combine an entropy coding algorithm like Huffman or arithmetic coding with a fixed length coding scheme and can improve the compression performance in a fixed rate compression scheme. The fixed length code assigns codes with a fixed length to symbols that have the highest probability of occurrence. Therefore, fixed length coding is used if all symbols in the sequence are from the set of symbols that have the highest probability values. Otherwise an entropy coding algorithm (e.g. Huffman coding) is used to encode quantized symbols.
    Type: Grant
    Filed: September 2, 2012
    Date of Patent: June 17, 2014
    Assignee: Sigma Designs, Inc.
    Inventor: Alireza Shoa Hassani Lashdan
  • SYSTEM AND METHOD FOR FIXED RATE ENTROPY CODED SCALAR QUANTIZATION
    Publication number: 20140015698
    Abstract: A system and method combine an entropy coding algorithm like Huffman or arithmetic coding with a fixed length coding scheme and can improve the compression performance in a fixed rate compression scheme. The fixed length code assigns codes with a fixed length to symbols that have the highest probability of occurrence. Therefore, fixed length coding is used if all symbols in the sequence are from the set of symbols that have the highest probability values. Otherwise an entropy coding algorithm (e.g. Huffman coding) is used to encode quantized symbols.
    Type: Application
    Filed: September 2, 2012
    Publication date: January 16, 2014
    Inventor: Alireza Shoa Hassani Lashdan
  • SYSTEM AND METHOD FOR SCALAR QUANTIZATION ERROR REDUCTION
    Publication number: 20140016865
    Abstract: To reduce artifacts caused by quantization errors in image compression systems, an offset is added to quantized samples at low frequency sections of a macroblock. A decoder uses the offset after decoding to bring the decoded sample closer to the original pre-encoded and pre-quantized sample, thereby compensating for quantization errors.
    Type: Application
    Filed: August 21, 2012
    Publication date: January 16, 2014
    Inventor: Alireza Shoa Hassani Lashdan