Image Compression Method Based on QR-Wavelet Transformation
نویسندگان
چکیده مقاله:
In this paper, a procedure is reported that discuss how linear algebra can be used in image compression. The basic idea is that each image can be represented as a matrix. We apply linear algebra (QR factorization and wavelet transformation algorithms) on this matrix and get a reduced matrix out such that the image corresponding to this reduced matrix requires much less storage space than the original image.
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عنوان ژورنال
دوره 10 شماره 3
صفحات 270- 277
تاریخ انتشار 2018-08-01
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