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In the context of image processing (and machine vision as well), blurring is an operation that reduces the sharpness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTILSI (linear shift invariant) lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTILSI convolution operation (aka LTILSI filtering), then the operation of deblurring can be defined as a deconvolution (i.e; inverse of convolution), and that's the sole relation between deblurring and deconvolution.

In the context of image processing (and machine vision as well), blurring is an operation that reduces the sharpness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTI lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTI convolution operation (aka LTI filtering), then the operation of deblurring can be defined as a deconvolution (i.e; inverse of convolution), and that's the sole relation between deblurring and deconvolution.

In the context of image processing (and machine vision as well), blurring is an operation that reduces the sharpness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LSI (linear shift invariant) lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LSI convolution operation (aka LSI filtering), then the operation of deblurring can be defined as a deconvolution (i.e; inverse of convolution), and that's the sole relation between deblurring and deconvolution.

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Fat32
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In the context of image processing (and machine vision as well), blurring is an operation that reduces the shaprnesssharpness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTI lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTI convolution operation (aka LTI filtering), then the operation of deblurring can be defined as a deconvolution (i.e; inverse of convolution), and that's the sole relation between deblurring and deconvolution.

In the context of image processing (and machine vision as well), blurring is an operation that reduces the shaprness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTI lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTI convolution operation (aka LTI filtering), then the operation of deblurring can be defined as a deconvolution, and that's the sole relation between deblurring and deconvolution.

In the context of image processing (and machine vision as well), blurring is an operation that reduces the sharpness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTI lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTI convolution operation (aka LTI filtering), then the operation of deblurring can be defined as a deconvolution (i.e; inverse of convolution), and that's the sole relation between deblurring and deconvolution.

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Fat32
  • 28.8k
  • 3
  • 25
  • 51

In the context of image processing (and machine vision as well), blurring is an operation that reduces the shaprness of an image by some lowpass filtering applied on it.

There are different causes of blurring such as lens blur, motion blur, or just LTI lowpass filtering.

Deblurring refers to any restoration performed on the image that try to remove the effect of a previous blurring, by outputting a sharper (similar to original) version of the image.

When blurring can be mathematically defined as an LTI convolution operation (aka LTI filtering), then the operation of deblurring can be defined as a deconvolution, and that's the sole relation between deblurring and deconvolution.