Wavelet based image denoising may be performed by thresholding (selecting a threshold value, and discarding all values below the threshold. Wavelet-based image compression may also be performed by a similar way. What is the difference then between the two operations? can we consider denoising a certain type of compression?

Wavelet based image denoising may be performed by thresholding (selecting a threshold value, and discarding all values below the threshold. Wavelet-based image compression may also be performed by a similar way. What is the difference then between the two operations? can we consider denoising a certain type of compression? Discarding in case of denoising means removing the coefficients below the threshold, while in compression all values below the threshold are set to zero? why setting the values to zero reduces the entropy? they are not removed, and if the image is transmitted across a wireless channel, the zero values are coded and transmitted.

Wavelet based image denoising may be performed by thresholding (selecting a threshold value, and discarding all values below the threshold. Wavelet-based image denoising may also be performed by a similar way. What is the difference then between the two operations? can we consider denoising a certain type of compression?

Wavelet based image denoising may be performed by thresholding (selecting a threshold value, and discarding all values below the threshold. Wavelet-based image compression may also be performed by a similar way. What is the difference then between the two operations? can we consider denoising a certain type of compression?