Authors
Abstract
This paper introduces, firstly, a proposed method of computing one and
two-dimensional wavelet transform .The proposed method reduces heavily
processing time for decomposition of image keeping or overcoming the quality of
reconstructed images. Also, the inverse procedures of all the transformations for
multi- dimensional cases verified.
Secondly, computes quantization and run length encoder. Different types
of quantization are presented in this paper with effects of these differences on
Compression Ratio (CR).
Thirdly, compute PSNR, RMSE, CR, and size. The effect noted this
difference in levels of FLWT on same picture, where PSNR, MSRE, SIZE, and
CR different from one level to another.
Keywords
)
