The image hiding algorithm based on the mask matrix and DCT transform

Sun, Xingshu; Shoukui, Si; Tian, Si

doi:10.1109/aimsec.2011.6010240

Cited by 2 publications

(1 citation statement)

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“…We use ambient images in the preprocessing phase and only store their location(their URL address) on the Flickr as a key instead of storing the whole mask images. Our approach in using ambient images to mask the original image can alleviate the commotional burden and storage overhead in some of the image encryption techniques such as [6] which uses invertible matrices as a mask. The invertible matrices not only should be stored with images but also demand high computation as the process of creating random invertible matrices is computationally intensive [7].…”

Section: Introductionmentioning

confidence: 99%

Towards privacy-preserving image template matching in the clouds

Nourian

Maheswaran

2012

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings

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Template matching is a fundamental building block for image search operations. In this paper, we present a scheme that allows privacy-preserving template matching operations on images that are stored on clouds. Our scheme uses "ambient image data" (images that are found in social media sites such as Flickr) as well as a privacy-preserving encoding technique to encode a given image before it is stored in a cloud. We show a particular encoding strategy that allows template matching to take place in the cloud while not revealing any information about the image or queried template to the cloud. A simplified prototype of the image processing system was implemented and the experimental results are presented in this paper. Our prototype shows the feasibility of performing privacy-aware template matching on encoded images.

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Section: Introductionmentioning

confidence: 99%

Towards privacy-preserving image template matching in the clouds

Nourian

Maheswaran

2012

4th IEEE International Conference on Cloud Computing Technology and Science Proceedings

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The New Evaluation Mechanism of Water Scarcity

Ren¹,

Huang²

2017

Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)

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Abstract. This paper examines water scarcity from both social and environmental perspectives in arrange of 6 factors. 3 social factors and 3 environmental factors are used to analyse both physical and economic water scarcity. After collecting all above factors of 176 countries or regions, a rating mechanism is developed by dividing each variable into 3 to 5 levels to present a neural network model. Then further improve our initial network model into a hybrid model by incorporating grey forecasting model. Shandong Province of China is chosen to explain, where water resources are heavily exploited. After analysing its water scarcity condition comprehensively from the perspectives of society and environment，The results are: a) It suffers from physical water scarcity more than economic. b) In 15 years, with the growth of GDP, water shortage situation of Shandong has been improved. c) To release water stress, the government should expand its budget deficit moderately.

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The image hiding algorithm based on the mask matrix and DCT transform

Cited by 2 publications

References 0 publications

Towards privacy-preserving image template matching in the clouds

Towards privacy-preserving image template matching in the clouds

The New Evaluation Mechanism of Water Scarcity

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