Co-registration of hyperspectral bands

Figov, Zvi; Wolowelsky, Karni; Goldberg, Nitzan

doi:10.1117/12.737950

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…However, different pixel intensities could exist among nearby spectral components or in the same component. This means that two kinds of correlations may be found in images: intraband correlation [10] among nearby pixels in the same component, and interband correlation among pixels across adjacent components. Interband correlation should be taken into account because it allows a more compact representation of the image by packing the energy into less number of bands, enabling a higher compression performance.…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

A Novel Technique in stegnanalysis using S-DES and Back propagation Algorithm

Sudha¹

2012

IOSRJEN

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This paper proposes a new algorithm by improving and combining S-DES and Back Propagation in neural networks to identify the stego image in mails. Back propogation is ideal for simple pattern recognition and mapping tasks. This new algorithm checks the mail inbox for JPEG files. As the image is send across the network for transmission, compression is required. Compression is used to minimize the seeking time of the JPEG files. After compression, the files are stored in a large database for further processing. A sample image is taken from the database as cover channel which is used to hide the secret information. For each image, we embedded a random binary stream of different lengths using S-DES algorithm. The proposed research analyses the performance of the improved version of image steganalysis algorithms in corporate mails.

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Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%