Chunhua Chen resumes & CV records
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Chunhua Chen, 43Shelbyville, TN
Chunhua Chen Phones & Addresses
Shelbyville, TN
Tullahoma, TN
Renton, WA
Brooklyn, NY
New York, NY
Lebanon, TN
Smyrna, TN
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Publications & IP owners
Us Patents
Method And Apparatus For Steganalysis For Texture Images
US Patent:
7885470, Feb 8, 2011
Filed:
Jan 19, 2007
Appl. No.:
11/624816
Inventors:
Yun-Qing Shi - Millburn NJ, US
Chunhua Chen - Harrison NJ, US
Chunhua Chen - Harrison NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/36
US Classification:
382232, 382100
Abstract:
Embodiments of the invention are directed toward methods for steganalysis that improve the detection of steganography in texture images. The methods combine features extracted from the image spatial representation and from a block discrete cosine transform (BDCT) representation with multiple different block sizes (i. e. , N×N) to improve detection of data hidden in texture images. Image data that is to undergo steganalysis can be provided to embodiments of the invention in at least one of spatial (pixel) and JPEG format. When JPEG format is provided, the image is first decompressed to spatial representation, from which the features are extracted when the block size is at least one 2×2, 4×4, and 16×16. When the block size is 8×8, the JPEG coefficients (JPEG quantized 8×8 BDCT coefficients) derived directly from the JPEG image are used to extract features. In addition, the method is also effective as a universal steganalyzer for both texture and smooth/non-texture images.
Method For Identifying Marked Images Based At Least In Part On Frequency Domain Coefficient Differences
US Patent:
7925080, Apr 12, 2011
Filed:
Jan 13, 2006
Appl. No.:
11/331767
Inventors:
Yun-Qing Shi - Millburn NJ, US
ChunHua Chen - Harrison NJ, US
ChunHua Chen - Harrison NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/62
G06K 9/00
G06K 9/46
H04K 1/04
G06K 9/00
G06K 9/46
H04K 1/04
US Classification:
382159, 382100, 382191, 380 38
Abstract:
Briefly, in accordance with one embodiment, a method of identifying marked images based at least in part on frequency domain coefficient differences is disclosed.
Method And Apparatus For A Natural Image Model Based Approach To Image/Splicing/Tampering Detection
US Patent:
8023747, Sep 20, 2011
Filed:
Feb 9, 2007
Appl. No.:
11/673529
Inventors:
Yun-Qing Shi - Millburn NJ, US
Chunhua Chen - Harrison NJ, US
Chunhua Chen - Harrison NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/36
G06K 9/00
G06K 9/00
US Classification:
382232, 382100
Abstract:
Embodiments of the invention are directed toward methods for an effective blind, passive, splicing/tampering detection. The methods of the various embodiments of the invention use a natural image model to detect image splicing/tampering with a model that is based on statistical features extracted from a given test image and multiple 2-D arrays generated by applying the block discrete cosine transform (BDCT) with several different block-sizes to the test images. Experimental results have demonstrated that the new splicing detection scheme outperforms state-of-the-art methods by a significant margin when applied to the Columbia Image Splicing Detection Evaluation Dataset.
Method For Identifying Marked Images Using Statistical Moments Based At Least In Part On A Jpeg Array
US Patent:
8103054, Jan 24, 2012
Filed:
Oct 4, 2010
Appl. No.:
12/897505
Inventors:
Yun-Qing Shi - Millburn NJ, US
Chunhua Chen - Harrison NJ, US
Chunhua Chen - Harrison NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/00
US Classification:
382100, 713176
Abstract:
Briefly, embodiments of a method of identifying marked images, in which higher order statistical moments based at least in part on a JPEG array are employed, is described.
Detecting Double Jpeg Compression In Images
US Patent:
8200034, Jun 12, 2012
Filed:
Apr 13, 2009
Appl. No.:
12/422683
Inventors:
Yun-Qing Shi - Millburn NJ, US
ChunHua Chen - Matawan NJ, US
ChunHua Chen - Matawan NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/36
G06K 9/46
G06K 9/46
US Classification:
382250
Abstract:
Techniques are generally described for detecting double JPEG compression in images. Example detection techniques of double JPEG compression may include receiving JPEG images for analysis and extracting 2-dimensional (2-D) arrays of JPEG coefficients from the images. 2-D difference arrays may be generated from the array of JPEG coefficients, with the entries in the difference array reflecting relative changes in values of pairs of entries in the array of JPEG coefficients. The detection techniques also model the difference arrays using random processes, and evaluate whether the random processes reveal statistical artifacts in the JPEG images. These statistical artifacts result from double JPEG impression performed on the JPEG images.
Method For Identifying Marked Images Based At Least In Part On Frequency Domain Coefficient Differences
US Patent:
8270708, Sep 18, 2012
Filed:
Mar 16, 2011
Appl. No.:
13/049378
Inventors:
Yun-Qing Shi - Millburn NJ, US
ChunHua Chen - Harrison NJ, US
ChunHua Chen - Harrison NJ, US
Assignee:
New Jersey Institute of Technology - Newark NJ
International Classification:
G06K 9/62
G06K 9/00
G06K 9/46
H04K 1/04
G06K 9/00
G06K 9/46
H04K 1/04
US Classification:
382159, 382100, 382191, 380 38
Abstract:
Briefly, in accordance with one embodiment, a method of identifying marked images based at least in part on frequency domain coefficient differences is disclosed.
Blind Blocking Artifact Measurement Approaches For Digital Imagery
US Patent:
8335401, Dec 18, 2012
Filed:
Apr 9, 2010
Appl. No.:
12/757389
Inventors:
Chunhua Chen - Matawan NJ, US
Assignee:
Dialogic Corporation - Montreal, Quebec
International Classification:
G06K 9/36
G06K 9/40
G06K 9/40
US Classification:
382280, 382275
Abstract:
Systems and methods of performing quantitative measurements of blocking artifacts in digital images and digital image sequences that are computationally efficient, and that employ no reference information in the measurement process. At least one normalized gradient image array is calculated, with reference to at least one specified gradient direction, from image pixel data contained in an image pixel array derived from a given digital image. The calculated results are accumulated into at least one profile array, and the data contained in the respective profile array is analyzed in the frequency domain to obtain a quantitative measurement of blockiness in the given digital image.
Universal Blurriness Measurement Approach For Digital Imagery
US Patent:
8411982, Apr 2, 2013
Filed:
Feb 16, 2010
Appl. No.:
12/706165
Inventors:
Chunhua Chen - Matawan NJ, US
Assignee:
Dialogic Corporation - Montreal, Quebec
International Classification:
G06K 9/40
US Classification:
382255, 382309
Abstract:
Systems and methods of performing quantitative measurements of image blur in digital images and digital image sequences that are computationally efficient, and that employ no reference information in the measurement process. Each of the image blur measurements is performed using a Markov Chain, where a gradient image array is calculated for a pixel array derived from a given digital image, and a transition probability matrix is constructed for the transition probabilities between adjacent elements in the gradient image array. The transition probability data contained in the transition probability matrix can be pooled or otherwise accumulated to obtain a quantitative measurement of image blur in the given digital image.
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