Image compression algorithm using wavelet transform

Luis Cadena; Franklin Cadena; Konstantin Simonov; Alexander Zotin; Grigory Okhotnikov

doi:10.1117/12.2235583

28 September 2016 Image compression algorithm using wavelet transform

Luis Cadena, Franklin Cadena, Konstantin Simonov, Alexander Zotin, Grigory Okhotnikov

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 99711L (2016) https://doi.org/10.1117/12.2235583
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

Within the multi-resolution analysis, the study of the image compression algorithm using the Haar wavelet has been performed. We have studied the dependence of the image quality on the compression ratio. Also, the variation of the compression level of the studied image has been obtained. It is shown that the compression ratio in the range of 8-10 is optimal for environmental monitoring. Under these conditions the compression level is in the range of 1.7 - 4.2, depending on the type of images. It is shown that the algorithm used is more convenient and has more advantages than Winrar. The Haar wavelet algorithm has improved the method of signal and image processing.

Conference Presentation

Citation Download Citation

Luis Cadena, Franklin Cadena, Konstantin Simonov, Alexander Zotin, and Grigory Okhotnikov "Image compression algorithm using wavelet transform", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99711L (28 September 2016); https://doi.org/10.1117/12.2235583

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