Genetic-algorithm-based image compression technique using pattern classification

Keissarian, Farhad

doi:10.1117/12.487499

“…This process is repeated iteratively until each block meets the criterion. The result might have blocks of several different sizes [28].…”

Section: Quadtreesmentioning

confidence: 99%

An Efficient Compression of Gray Scale Images Using Wavelet Transform

Ranjan¹,

Kumar

²

2022

Wireless Pers Commun

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The rapid development of technology and the standardization of digital photography have led to an explosive growth in digital image distribution and reproduction. The enhancement of storage capacity in computer disks and advancement in networking have not been able to keep pace with the demands of handling, storing and finally transmitting huge volume of image data. Only proper image compression technologies seem to offer a solution to this challenge. The importance of digital image compression in multimedia applications has inspired extensive research all over the world. The present study recommends a newly formulated algorithm by computing Discrete Wavelet Transform (DWT) in combination with thresholding and quadtree decomposition. Findings prove that the proposed technique is at par with EZW image compression algorithm in terms of quality performance at the same bit rate, and obviates the need for employing any other conventional standard image compression techniques.

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“…Candidate such schemes include the quadtree-based compression algorithm [44], [45], the Embedded Zero Tree of Wavelet Transforms (EZW) compression algorithm [46], [47], to name a few. In our proposed scheme, we have used the SPHIT algorithm [48] for image compression, which is a variant of the EZW algorithm.…”

Section: Sid-ic Schemementioning

confidence: 99%

Secure Data Deduplication in Cloud Environments

Rashid¹

2021

Preprint

0

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With the tremendous growth of available digital data, the use of Cloud Service Providers (CSPs) are gaining more popularity, since these types of services promise to provide convenient and efficient storage services to end-users by taking advantage of a new set of benefits and savings offered by cloud technologies in terms of computational, storage, bandwidth, and transmission costs. In order to achieve savings in storage, CSPs often employ data dedplication techniques to eliminate duplicated data. However, benefits gained through these techniques have to balanced against users' privacy concerns, as these techniques typically require full access to data. In this thesis, we propose solutions for different data types (text, image and video) for secure data deduplication in cloud environments. Our schemes allow users to upload their data in a secure and efficient manner such that neither a semi-honest CSP nor a malicious user can access or compromise the security of the data. We use different image and video processing techniques, such as data compression, in order to further improve the efficiency of our proposed schemes. The security of the deduplication schemes is provided by applying suitable encryption schemes and error correcting codes. Moreover, we propose proof of storage protocols including Proof of Retrievability (POR) and Proof of Ownership (POW) so that users of cloud storage services are able to ensure that their data has been saved in the cloud without tampering or manipulation. Experimental results are provided to validate the effectiveness of the proposed schemes.

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An Efficient Compression of Gray Scale Images using Wavelet Transform

Ranjan¹,

Kumar

²

2021

Preprint

0

View full text Add to dashboard Cite

The rapid development of technology and the standardization of digital photography have led to an explosive growth in digital image distribution and reproduction. The enhancement of storage capacity in computer disks and advancement in networking have not been able to keep pace with the demands of handling, storing and finally transmitting huge volume of image data. Only proper image compression technologies seem to offer a solution to this challenge. The importance of digital image compression in multimedia applications has inspired extensive research all over the world. The present study recommends a newly formulated algorithm by computing Discrete Wavelet Transform (DWT) in combination with thresholding and quadtree decomposition. Findings prove that the proposed technique is at par with EZW image compression algorithm in terms of quality performance at the same bit rate, and obviates the need for employing any other conventional standard image compression techniques.

show abstract

Genetic-algorithm-based image compression technique using pattern classification

Cited by 3 publications

References 7 publications

An Efficient Compression of Gray Scale Images Using Wavelet Transform

An Efficient Compression of Gray Scale Images Using Wavelet Transform

Secure Data Deduplication in Cloud Environments

An Efficient Compression of Gray Scale Images using Wavelet Transform

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