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Volume 5, Issue 3
JPEG and Sequential Search Algorithm applied on Low-Frequency Sub-Band

Mohammed Mustafa Siddeq

J. Info. Comput. Sci. , 5 (2010), pp. 163-172.

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  • Abstract
In this research we introduce and idea for image compression, based on JPEG technique and Sequential Search Algorithm, at first using Discrete Wavelet Transform (DWT) to obtain LL sub-band, then apply JPEG technique on the LL sub-band. JPEG technique consist of; JPEG Transformation, and JPEG Coding. The LL sub-band transformed by JPEG transformation for obtaining more compression ratio. Before apply JPEG coding, our algorithm used feedbacks system for inverse JPEG transformation to get decoded LL sub-band, and then the difference between decoded LL and original LL are stored in a new matrix called D- Matrix, finally the D-Matrix compressed by Sequential Search Algorithm. The Decompression algorithm consists of; Inverse JPEG transformation to get decoded LL, Sequential Search Algorithm to find D-Matrix, Add D-Matrix with the decoded LL and apply inverse DWT to get decompressed image. Our algorithm tested on two different gray level images and compared with JPEG and JPEG2000.
  • Keywords

Discrete Wavelet Transform, JPEG Technique, Minimize Algorithm, Sequential Search Algorithm

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COPYRIGHT: © Global Science Press

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@Article{JICS-5-163, author = {Mohammed Mustafa Siddeq}, title = {JPEG and Sequential Search Algorithm applied on Low-Frequency Sub-Band}, journal = {Journal of Information and Computing Science}, year = {2010}, volume = {5}, number = {3}, pages = {163--172}, abstract = { In this research we introduce and idea for image compression, based on JPEG technique and Sequential Search Algorithm, at first using Discrete Wavelet Transform (DWT) to obtain LL sub-band, then apply JPEG technique on the LL sub-band. JPEG technique consist of; JPEG Transformation, and JPEG Coding. The LL sub-band transformed by JPEG transformation for obtaining more compression ratio. Before apply JPEG coding, our algorithm used feedbacks system for inverse JPEG transformation to get decoded LL sub-band, and then the difference between decoded LL and original LL are stored in a new matrix called D- Matrix, finally the D-Matrix compressed by Sequential Search Algorithm. The Decompression algorithm consists of; Inverse JPEG transformation to get decoded LL, Sequential Search Algorithm to find D-Matrix, Add D-Matrix with the decoded LL and apply inverse DWT to get decompressed image. Our algorithm tested on two different gray level images and compared with JPEG and JPEG2000. }, issn = {3080-180X}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22707.html} }
TY - JOUR T1 - JPEG and Sequential Search Algorithm applied on Low-Frequency Sub-Band AU - Mohammed Mustafa Siddeq JO - Journal of Information and Computing Science VL - 3 SP - 163 EP - 172 PY - 2010 DA - 2010/09 SN - 5 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22707.html KW - Discrete Wavelet Transform, JPEG Technique, Minimize Algorithm, Sequential Search Algorithm AB - In this research we introduce and idea for image compression, based on JPEG technique and Sequential Search Algorithm, at first using Discrete Wavelet Transform (DWT) to obtain LL sub-band, then apply JPEG technique on the LL sub-band. JPEG technique consist of; JPEG Transformation, and JPEG Coding. The LL sub-band transformed by JPEG transformation for obtaining more compression ratio. Before apply JPEG coding, our algorithm used feedbacks system for inverse JPEG transformation to get decoded LL sub-band, and then the difference between decoded LL and original LL are stored in a new matrix called D- Matrix, finally the D-Matrix compressed by Sequential Search Algorithm. The Decompression algorithm consists of; Inverse JPEG transformation to get decoded LL, Sequential Search Algorithm to find D-Matrix, Add D-Matrix with the decoded LL and apply inverse DWT to get decompressed image. Our algorithm tested on two different gray level images and compared with JPEG and JPEG2000.
Mohammed Mustafa Siddeq. (2010). JPEG and Sequential Search Algorithm applied on Low-Frequency Sub-Band. Journal of Information and Computing Science. 5 (3). 163-172. doi:
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