An edge based image steganography with compression and encryption

Mishra, Rina; Mishra, Atish; Bhanodiya, Praveen

doi:10.1109/ic4.2015.7375510

Cited by 10 publications

(2 citation statements)

References 4 publications

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“…In the other hand the popular image analysis techniques also includes hiding and extracting information inside an image. Rina Mishra et al [18] have demonstrated the benefits of information embedding and extraction from medical images.…”

Section: Outcomes From the Parallel Researchesmentioning

confidence: 99%

Fast Compression For Brain Mr Images With Proposed Algorithms

Ramanjaneyulu¹,

Rao²,

Balraju³

2019

IJITEE

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Growth in information storage and retrieval significantly depend on images in various domains as the information representation and understand ability is significantly higher. The challenges in processing the complete information in image formats are obtained during storage and transmission. Also, the information extractions from images are significantly difficult compared to information extractions from text. Nonetheless, the incorporation of image analysis for disease detection involves gigantic amount of image data storage, which is a concern of financial drawbacks. Hence, the images used for the analysis must be compressed for storage. However, the complexity of image compression is critical as the information loss can cause significant difference in disease detections. Thus the traditional lossy image compression methods cannot be applied to this problem. Hence, this work addresses the optimal compression of the medical images without vital information loss and with ominously high compression ratio as the second objective of this work.

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Section: Outcomes From the Parallel Researchesmentioning

confidence: 99%

Fast Compression For Brain Mr Images With Proposed Algorithms

Ramanjaneyulu¹,

Rao²,

Balraju³

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…Mishra R et al [8] describes a secure data transmission using LZW compression before hiding the secret data inside the image. Compression is done in order to reduce the size of the data so that it can be fit inside any media.…”

Section: Prior Workmentioning

confidence: 99%