Dr. Nitin Khanna Profile

Dr. Nitin Khanna

at Indian Institute of Technology Gandhinagar

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Author

Publications (11)

SPIE Journal Paper | 1 June 2018

Consistent pan-sharpening based on multistage joint and dual bilateral filters

Sharad Joshi, Kishor Upla, Nitin Khanna

JARS, Vol. 12, Issue 02, 026023, (June 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.026023

KEYWORDS: Image fusion, Satellites, Image processing, Image filtering, Satellite imaging, Spatial resolution, Distortion, Image quality, Spectral resolution, Remote sensing

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A pan-sharpening method using joint and dual bilateral filters (DBFs) has been proposed. This approach is based on a consistent combination of large- and small-scale features obtained from the decomposition of high spectral resolution multispectral (MS) and high spatial resolution panchromatic (PAN) images. In the decomposition process, MS and PAN images are used to extract the features using joint and DBFs, respectively. These filters accommodate the relationship between MS and PAN images and decompose them into a base layer (large-scale) and a detail layer (small-scale). Since the joint bilateral filter (JBF) preserves the edges of an auxiliary image, it is used for decomposition of MS images where different layers are estimated using the PAN image as an auxiliary image. Similarly, different layers of the PAN image are obtained from a DBF which preserves the edges of both (MS and PAN) input images. This process is further extended to multistage decomposition to obtain a bilateral image pyramid. The base and detail layers of both MS and PAN images obtained at various stages are combined using a weighted sum. Finally, the estimated weighted sum of detail layer (small-scale) of the PAN image is fused separately to the weighted base layers (large-scale) of the MS images. Performance of the proposed method is evaluated by conducting the experiments on degraded as well as undegraded datasets, captured using different satellites such as Quickbird, Ikonos-2, and Worldview-2. The noise rejection capabilities of the proposed method are also tested by conducting experiments on the noisy data. The results are compared with the widely popular methods and the recently proposed fusion approaches based on a bilateral filter. Along with qualitative evaluation, the quantitative performance of the proposed fusion technique has also been verified by estimating different measures for degraded and undegraded experiments. The experimental results and quantitative measures demonstrate that the proposed method performs better in degraded and undegraded conditions along with noisy situations when compared to other state-of-art methods.

Proceedings Article | 18 February 2014 Paper

A mobile phone user interface for image-based dietary assessment

Ziad Ahmad, Nitin Khanna, Deborah Kerr, Carol Boushey, Edward Delp

Proceedings Volume 9030, 903007 (2014) https://doi.org/10.1117/12.2041334

KEYWORDS: Human-machine interfaces, Cameras, Image processing, Image analysis, Databases, Phase modulation, Cell phones, Cancer, Global Positioning System, Image acquisition

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Proceedings Article | 10 February 2012 Paper

Image enhancement and quality measures for dietary assessment using mobile devices

Chang Xu, Fengqing Zhu, Nitin Khanna, Carol Boushey, Edward Delp

Proceedings Volume 8296, 82960Q (2012) https://doi.org/10.1117/12.909949

KEYWORDS: RGB color model, Image quality, Mobile devices, Calibration, Cameras, Image analysis, Light sources and illumination, Image processing, Image enhancement, Quality measurement

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Proceedings Article | 11 February 2011 Paper

Forensic printer detection using intrinsic signatures

Aravind Mikkilineni, Nitin Khanna, Edward Delp

Proceedings Volume 7880, 78800R (2011) https://doi.org/10.1117/12.876742

KEYWORDS: Printing, Forensic science, Feature selection, Digital watermarking, Information security, Optical proximity correction, Feature extraction, Particles, Security printing, Manufacturing

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Proceedings Article | 8 February 2011 Paper

Segmentation assisted food classification for dietary assessment

Fengqing Zhu, Marc Bosch, TusaRebecca Schap, Nitin Khanna, David Ebert, Carol Boushey, Edward Delp

Proceedings Volume 7873, 78730B (2011) https://doi.org/10.1117/12.877036

KEYWORDS: Image segmentation, Feature extraction, Image filtering, Mobile devices, Image classification, Image analysis, Glasses, RGB color model, Gaussian filters, Cameras

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Proceedings Article | 8 February 2011 Paper

Arabic word recognizer for mobile applications

Nitin Khanna, Golnaz Abdollahian, Ben Brame, Mireille Boutin, Edward Delp

Proceedings Volume 7873, 78730J (2011) https://doi.org/10.1117/12.876810

KEYWORDS: Associative arrays, Cameras, Image segmentation, Mobile devices, Optical character recognition, Imaging systems, Image quality, Binary data, Head-mounted displays, Visualization

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Proceedings Article | 28 January 2010 Paper

Texture based attacks on intrinsic signature based printer identification

Aravind Mikkilineni, Nitin Khanna, Edward Delp

Proceedings Volume 7541, 75410T (2010) https://doi.org/10.1117/12.845377

KEYWORDS: Printing, Information security, Optical proximity correction, Digital watermarking, System identification, Particles, Security printing, Manufacturing, Image analysis, Signal analyzers

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Proceedings Article | 4 February 2009 Paper

Improvements on image authentication and recovery using distributed source coding

Nitin Khanna, Antoni Roca, George Chiu, Jan Allebach, Edward Delp

Proceedings Volume 7254, 725415 (2009) https://doi.org/10.1117/12.807352

KEYWORDS: Image compression, Expectation maximization algorithms, Digital imaging, Data compression, Image encryption, Computer programming, Digital watermarking, Image restoration, Quantization, Evolutionary algorithms

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Proceedings Article | 18 March 2008 Paper

Scanner identification with extension to forgery detection

Nitin Khanna, George Chiu, Jan Allebach, Edward Delp

Proceedings Volume 6819, 68190G (2008) https://doi.org/10.1117/12.772048

KEYWORDS: Scanners, Sensors, Detection and tracking algorithms, Optical sensors, Feature extraction, Digital cameras, Image resolution, Forensic science, Image filtering, CCD image sensors

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Proceedings Article | 1 March 2007 Paper

Scanner identification using sensor pattern noise

Nitin Khanna, Aravind Mikkilineni, George Chiu, Jan Allebach, Edward Delp

Proceedings Volume 6505, 65051K (2007) https://doi.org/10.1117/12.705837

KEYWORDS: Scanners, Sensors, Cameras, Digital cameras, Optical sensors, Image classification, Image resolution, Image compression, Charge-coupled devices, CCD image sensors

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Proceedings Article | 1 March 2007 Paper

Forensic classification of imaging sensor types

Nitin Khanna, Aravind Mikkilineni, George Chiu, Jan Allebach, Edward Delp

Proceedings Volume 6505, 65050U (2007) https://doi.org/10.1117/12.705849

KEYWORDS: Scanners, Cameras, Sensors, Digital cameras, Optical sensors, CCD image sensors, CCD cameras, Image classification, Optical filters, Image resolution

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Showing 5 of 11 publications

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