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Low Pass Filter
(filter Image in the filter palette. High Pass filter selects the low frequencies of an image and replaces them with a uniform value. In a digital image, noise is caused by statistical variations in pixel values. Low-pass filtering is a very basic noise reduction technique in which each pixel is replaced by the average of its 8 neighbors.

Bilateral Filter
(highlight a region of the image. Select the bilateral filter tool from the
filter palette. Double-click to set the amount of smoothness, then double-click the second time to fine-tune the smoothness of the filtered image.

Adaptive Bilateral Filter
(highlight a region of the image. Select the adaptive bilateral filter tool from the
filter palette. Adjust the filter properties (smoothness, blocking, and highpass cutoff frequency).

Minimum/Maximum (intensity)

The minimum/maximum noise reduction tool helps to remove noise from regions of the image that have a low level of noise (such as backgrounds).

Bilateral Low-Pass

In the bilateral noise reduction filter, the first high-pass filter uses a fixed cutoff frequency to reduce noise. The second high-pass filter modifies the first filter to reduce noise by changing the strength of the first filter.

Bilateral Minimum/Maximum

Both bilateral filters modify the image to remove noise, but bilateral minimum/maximum reduces noise by setting a lower threshold.

Adobe Photoshop Description

It is a fact of life in digital imaging that noise can add to a photograph’s quality. Rather than building in an infinite degree of smoothing, the noise reduction methods in this plug-in do the best they can with the data they have, resulting in an image with less noise, but some noise reduction.

Noise Reduction Algorithms

Noise reduction is a process that uses information about noise to improve the image. It can also be used to eliminate noise, but the user must manually determine the degree of elimination.

The plug-in provides four noise reduction algorithms, listed below:

Low-Pass filter – A low-pass filter reduces noise by averaging the pixels around the border of the image. Low-pass filtering is used to “sand down” the image and remove minor defects.

Bilateral filter – The bilateral filter combines the low-pass and high-pass filters, resulting in smoother, more symmetric images. The bilateral filter is particularly effective for enhancing small details in 384a16bd22

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