2014
DOI: 10.11591/ijece.v4i3.6326
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An Optimal HSI Image Compression using DWT and CP

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2014
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Cited by 11 publications
(5 citation statements)
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“…Chatterjee and Yuen [18] also employed a learning mechanism using a sparse coding dictionary towards achieving higher accuracy in the classification process. In the study of Narmadha et al [19], the authors have focused on the HSI compression using Polyadic decomposition and discrete wavelet transform approach. This approach provides good compression performance but may be subjected to the error of information loss or visual quality in the reconstructed image.…”
Section: Introductionmentioning
confidence: 99%
“…Chatterjee and Yuen [18] also employed a learning mechanism using a sparse coding dictionary towards achieving higher accuracy in the classification process. In the study of Narmadha et al [19], the authors have focused on the HSI compression using Polyadic decomposition and discrete wavelet transform approach. This approach provides good compression performance but may be subjected to the error of information loss or visual quality in the reconstructed image.…”
Section: Introductionmentioning
confidence: 99%
“…This latter technique was proposed in [14]. In fact the DWT is a powerful tool used in many domains of signal and image processing such as in [15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Over the last two decades, numerous and diverse image compression methods [2][3][4][5][6] have been proposed. The most widely used methods are based on transformbased coding.…”
Section: Introductionmentioning
confidence: 99%