I am working with wavelet transforms. when we apply discrete wavelet transform to an image it decomposes into four components name approximation component,vertical component, horizondal component, and diagonal component. And these components are indicated as LL, HL, LH, HH respectively. I understand how an image is decomposed by using wavelet transform, but I don't know why generally in an image high frequency component contain more noise. please explain this

I am working with wavelet transforms. When we apply a discrete wavelet transform to an image, it decomposes into four components named the approximation component, thevertical component, the horizontal component, and the diagonal component.

These components are indicated as LL, HL, LH, HH respectively. I understand how an image is decomposed by using a wavelet transform, but I don't know why generally in an image high frequency component contain more noise.

I am working with wavelet transforms. when we apply discrete wavelet transform to an image it decomposes into four components name approximation component,vertical component, horizondal component,diagonal component and these components are indicated as LL, HL, LH, HH respectively. I understand how an image is decomposed by using wavelet transform.but I don't know why generally in an image high frequency component contain more noise.please explain this

I am working with wavelet transforms. when we apply discrete wavelet transform to an image it decomposes into four components name approximation component,vertical component, horizondal component, and diagonal component. And these components are indicated as LL, HL, LH, HH respectively. I understand how an image is decomposed by using wavelet transform, but I don't know why generally in an image high frequency component contain more noise. please explain this