AU2019101331A4 - Energy-efficient and secure transmission based on Semi-Tensor Compressive Sensing for Internet of Multimedia Things - Google Patents

Energy-efficient and secure transmission based on Semi-Tensor Compressive Sensing for Internet of Multimedia Things Download PDF

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Publication number
AU2019101331A4
AU2019101331A4 AU2019101331A AU2019101331A AU2019101331A4 AU 2019101331 A4 AU2019101331 A4 AU 2019101331A4 AU 2019101331 A AU2019101331 A AU 2019101331A AU 2019101331 A AU2019101331 A AU 2019101331A AU 2019101331 A4 AU2019101331 A4 AU 2019101331A4
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image
multimedia
lena
cameraman
house
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AU2019101331A
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Yuming Fang
Yukun Hong
Rongxin Tu
Wenying Wen
Yushu Zhang
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3059—Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
    • H03M7/3062—Compressive sampling or sensing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/63—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using sub-band based transform, e.g. wavelets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
    • G06F17/141—Discrete Fourier transforms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G06F21/606—Protecting data by securing the transmission between two devices or processes

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

Abstract: In the Internet of Multimedia Things (IoMT), multimedia big data are acquired by a variety of multimedia sensors with varying performance. There are some crucial problems including energy constraints and weak security in IoMT. In this paper, we provide an energy-efficient and secure transmission scheme to solve these problems for IoMT. We introduce the semi-tensor product into compressed sensing, which supports the matrix of different dimensions and can retain all the main properties of the traditional matrix multiplication. The effectiveness of the proposed approach lies in greatly saving the computing resources of construction matrix and needing for matrix multiplication under the condition of ensuring picture quality. (a) (b) (c) (d) (e) (f) (g) (h) (i) (j) (k) (1) Fig.1. The compression ratio is 0.5 for the difference between the reconstructed image and the plain image (a) plain image of Cameraman, (b) plain image of House, (c) plain image of Lena, (d) encrypted image of Cameraman, (e) encrypted image of House, (f) encrypted image of Lena, (g) reconstructed image of Cameraman, (g) reconstructed image of House, (g) reconstructed image of Lena, (g) difference image of Cameraman, (g) difference image of House, (g) difference image of Lena.
AU2019101331A 2019-11-02 2019-11-02 Energy-efficient and secure transmission based on Semi-Tensor Compressive Sensing for Internet of Multimedia Things Ceased AU2019101331A4 (en)

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AU2019101331A AU2019101331A4 (en) 2019-11-02 2019-11-02 Energy-efficient and secure transmission based on Semi-Tensor Compressive Sensing for Internet of Multimedia Things

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AU2019101331A AU2019101331A4 (en) 2019-11-02 2019-11-02 Energy-efficient and secure transmission based on Semi-Tensor Compressive Sensing for Internet of Multimedia Things

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AU2019101331A4 true AU2019101331A4 (en) 2019-12-19

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113077403A (en) * 2021-04-22 2021-07-06 河北工业大学 Color image reconstruction method based on local data block tensor enhancement technology
CN113378143A (en) * 2021-07-06 2021-09-10 江西财经大学 Encryption domain reversible information hiding and authentication method based on half tensor compressed sensing
CN113486386A (en) * 2021-07-30 2021-10-08 东南大学 Double-image compression encryption method based on half tensor product compression perception
CN113852827A (en) * 2021-08-18 2021-12-28 河海大学 Image encryption method based on partial block matching and half tensor product
CN115175122A (en) * 2022-07-01 2022-10-11 重庆邮电大学 Indoor positioning method based on half tensor product compressed sensing

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113077403A (en) * 2021-04-22 2021-07-06 河北工业大学 Color image reconstruction method based on local data block tensor enhancement technology
CN113077403B (en) * 2021-04-22 2022-08-09 河北工业大学 Color image reconstruction method based on local data block tensor enhancement technology
CN113378143A (en) * 2021-07-06 2021-09-10 江西财经大学 Encryption domain reversible information hiding and authentication method based on half tensor compressed sensing
CN113486386A (en) * 2021-07-30 2021-10-08 东南大学 Double-image compression encryption method based on half tensor product compression perception
CN113486386B (en) * 2021-07-30 2023-12-01 东南大学 Double-image compression encryption method based on half-tensor compressed sensing
CN113852827A (en) * 2021-08-18 2021-12-28 河海大学 Image encryption method based on partial block matching and half tensor product
CN113852827B (en) * 2021-08-18 2023-10-17 河海大学 Image encryption method based on partial block matching and half tensor product
CN115175122A (en) * 2022-07-01 2022-10-11 重庆邮电大学 Indoor positioning method based on half tensor product compressed sensing

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MK22 Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry