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Novel Technique for Image Denoising Using Adaptive Haar Wavelet Transformation


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DOI: https://doi.org/10.15866/irecos.v10i10.7636

Abstract


Additive noise is a serious problem as it degrades the quality of the image. It is often required to reconstruct the original image by suppressing noise even before it is processed. This procedure is known as image de-noising. Many de-noising techniques have been proposed in the recent past which are unique in their approach to filtering noise. Wavelets have evolved as one of the excellent tools for such de-nosing problems. In this paper one such technique which is referred to as adaptive HAAR wavelet (HW) is employed. The proposed technique produced dominant results when compared with other existing techniques and standard HW.
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Keywords


HAAR Wavelet; Image Denoising; Wavelet Transformations

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References


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