A Lossy Colour Image Compression Using Integer Wavelet Transforms and Binary Plane Transform

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Dr. P. Ashok Babu
Dr. P. Ashok Babu
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Dr. K.V.S.V.R.Prasad
Dr. K.V.S.V.R.Prasad
1 Narsimha Reddy Engineering College

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GJCST Volume 12 Issue F15

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In the recent period, image data compression is the major component of communication and storage systems where the uncompressed images requires considerable compression technique, which should be capable to reduce the crippling disadvantages of data transmission and image storage. In the research paper, the novel image compression technique is proposed which is based on the spatial domain and quite effective for the compression of images. However, the performance of the proposed methodology is compared with the conventional compression techniques (Joint Photographic Experts Group) JPEG and set partitioning in hierarchical trees (SPIHT) using the evaluation metrics compression ratio and peak signal to noise ratio. It is evaluated that Integer wavelets with binary plane technique is more effective compression technique than JPEG and SPIHT as it provided more efficient quality metrics values and visual quality.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

Dr. P. Ashok Babu. 2013. \u201cA Lossy Colour Image Compression Using Integer Wavelet Transforms and Binary Plane Transform\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F15): .

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GJCST Volume 12 Issue F15
Pg. 9- 15
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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January 5, 2013

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English

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In the recent period, image data compression is the major component of communication and storage systems where the uncompressed images requires considerable compression technique, which should be capable to reduce the crippling disadvantages of data transmission and image storage. In the research paper, the novel image compression technique is proposed which is based on the spatial domain and quite effective for the compression of images. However, the performance of the proposed methodology is compared with the conventional compression techniques (Joint Photographic Experts Group) JPEG and set partitioning in hierarchical trees (SPIHT) using the evaluation metrics compression ratio and peak signal to noise ratio. It is evaluated that Integer wavelets with binary plane technique is more effective compression technique than JPEG and SPIHT as it provided more efficient quality metrics values and visual quality.

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A Lossy Colour Image Compression Using Integer Wavelet Transforms and Binary Plane Transform

Dr. P. Ashok Babu
Dr. P. Ashok Babu Narsimha Reddy Engineering College
Dr. K.V.S.V.R.Prasad
Dr. K.V.S.V.R.Prasad

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