Method one, using the image size
In our concept, image size is an order to change the size of the picture, and the function of denoising is not put on the line, if your mind is still stuck in the "a tool must be a tool" in such a framework, then you should be more divergent thinking. Now, with PS to open the image we want to deal with, at a glance can see the distribution of black porcelain surface noise.
Enter "image-image size", in the image size to re-enter the size of the image, you can see the original image size is 1200px wide, high 1604px, we want to make this value larger, but do not change the proportion of the image, that is, to establish a link between the long width.
Then re-enter the size of the image, and check the "Resample", in the dropdown box, select "Keep details (enlarge)", the reduced noise module to 88%, of course, this parameter is to see the specific picture of your specific circumstances. In short, the principle used here is to increase the noise and then reduce its high light color, so that it becomes less "eye-catching", you can quickly eliminate noise.
After the completion of the picture and then zoom to the original size, after comparison can find that the noise has been reduced a lot.
Method two: Using Camera raw filter function
CAMERA Raw is originally a PS plug-in developed by Adobe, which is designed to handle the raw files of the SLR digital camera, which is integrated into the software and can be used as a filter after this version of Photoshop CC. The principle of CAMERA raw filters to help eliminate noise is to lighten the noise before reducing its details, in short, let the Noise "sink" down.
Open the image we want to deal with, you can find the whole picture of the quality, in addition to the highlights of the parts are full of noise, and darker color, the quality is not clear.
Locate the filter >camera raw filter, open the filter, and eject the filter's parameters panel. In the parameters panel, find the "Details" icon, which is the red box in the image below.
In the "Reduce Noise" column, the brightness and brightness of the details of the two parameters to debug, do not suddenly the brightness of the slider pull too much, this will make the picture is not too real. Move the slider slowly and try to find the best feeling. These two different combinations of parameters will help you find the balance point, that is, neither distortion nor exposure to noise.
Here, you can look at the contrast before and after the camera raw filter is processed.
We opened a picture with a lot of noise. Open the way there are many, generally press the shortcut key Ctrl+o, very simple. You can also drag the picture directly to the PS program.
Next we add a backup to the picture to prevent the picture from being modified and not being able to restore the original picture. The method is to back up the layer by right-clicking the layer in the layers panel and selecting the duplicate layer.
Next, we will find the Lasso tool on the left side of the toolbar by right-clicking the Unit price option and then popping up a right-click menu in which we select the Lasso Lasso tool.
Outline the mouse along the area of the eye, holding down the CTRL key to outline the other eye, so that two eyes are selected.
We press the key combination ctrl+j, bring up the Feather dialog box, set the feather radius to 3, and click OK
This allows us to select the area of the eye and press CTRL + C to copy the Eye and press the shortcut key to Ctrl + V to paste the eye. In this way, the eye becomes a separate layer, so let's see what I look like when I hide the other layers, like the second picture below.
Select the background layer in the layer and we'll do it on this layer.
We clicked "Filter" on the menu bar and in the pop-up menu we chose "Noise"
A dialog box pops up, we enter a radius of 5, and then click "OK"
Then click on the filter--sharpening--sharpening the edge. This eliminates the noise and the eye is not affected by the fact that the area of the eye has been copied.
This is the final elimination of the image noise after the effect of the.
