Efficient image enhancement techniques based on modified mean filter and K-SVD algorithm

Abstract EN

All digital images contain some degree of noise.

Image enhancement algorithm attempts to remove this noise from the image.

Ideally, the resulting de-noised image will not contain any noise or added artifacts.

Denoising of natural images corrupted by Gaussian noise using Wavelet transformation techniques is very effective because of its ability to capture the energy of a signal in few energy transform values.

In this paper, mean pixel energy for each windows of noisy image will calculate by using the Energy Estimation operation then store in a dictionary.

Noisy image decomposed using Wavelet transform and then applied K-SVD algorithm noise removal.

In the same time, the modified mean filter is also applied to the de-noised image for noise removal.

Finally, the de-noised image get from the comparison between (modified mean with K-SVD algorithm) outputs and select the appropriate pixels depend on the energy value stored on the dictionary.