The moire is a stained interference mesh caused by data grid overlapping conflicts. Moire usually occurs in three stages of image processing. 1. Scan highly detailed textures: For example, when scanning an image on a textured fabric, moire will be generated, which is caused by the scanner itself. The scanner is not sensitive enough to the details read in, and the resulting moire is present in the scanned image and can hardly be removed. 2. Output incorrect screen angle: When multi-color images are output at the wrong screen angle, moire will appear on the image printed on the printer. In addition, if the screen angle is not optimized, moire will inevitably occur. 3. Scan pre-screened images: When scanning images that have already been printed, the continuous tone information on the photos or transparencies cannot be scanned, but the mesh dots are adjusted. The scanner partially recognizes the space between dots, but it cannot be copied as it is or converted into a continuous tone. As a result, the image contains moire. In this case, several techniques can be used to reduce or eliminate moire. In the following, according to the degree of damage to the overall quality of the image, several methods for eliminating moire are introduced in turn. 1. Reduce moire when scanning mesh-toned images When scanning a black and white halftone image, the following steps can usually eliminate the space between the dots. 1. Scan the image at a resolution twice the normal resolution and subtracting 10 pixels. For example, if a halftone image is generally scanned at a resolution of 300 dpi, it is now scanned at 590 dpi. 2. In Photoshop, select Filter \ Blur \ Gaussian Blur (Filter \ Blur \ Gaussian Blur). This filter is very damaging to the image, so only lower values ​​should be used, and pixels with a radius of 0.7 to 1.2 should be sufficient. 3. Select Image \ Image Size. 4. In the Image Size dialog box, select the two options "Constrain Proportions" and "Resample Image", you can change the resolution without affecting the width and height, and then set the interpolation to "Bicubic" (quadratic cube). 5. Enter 300 in the Resolution field. 6. Click "OK" to halve the resolution, and remove 3/4 of the image pixels. Usually this will also remove most of the pattern. 7. Evaluate the image. If the dot pattern has been reduced enough, continue with other editing work. If not, go to the next step. 8. Evaluate the image again. If there is still a small amount of netting, apply Filter \ Noise \ Despeckle (filter \ noise \ speckle). 2. Eliminate moire by rotating When scanning pre-screened color images, moire appears not only in one channel (black), but may appear in one or more color channels. Too much adjustment of the entire image will have an irreversible effect on the information in the channels that did not initially contain patterns. When scanning, the image is not placed at a right angle to the scanning platform, but at a certain other angle. This can not only force the scanner to misinterpret the more obvious component colors, such as cyan and black, but also blur the edges of the dot shape during the interpolation process when rotating the image in Photoshop, producing a more continuous tone effect. Generally scan at 15 °, 30 ° or 45 °. After scanning the image, there are two ways to rotate the scanned image. One is to select Image \ Rotate Canvas \ Arbitrary (Image \ Rotate Canvas \ Arbitrary), enter the angle at which the image is to be rotated, and then crop off the extra canvas generated after rotating the entire image; second, rotate while cropping the image. 3. Use fuzzy method to eliminate moire The basic steps: 1. Scan the image at twice the normal resolution minus 10 pixels. In this way, when the first round of blur filter is applied, the image contains more information than the standard scan, causing less damage to important details. Moreover, when the resolution of the blurred image is reduced in the future, more conflicting dot structures may be eliminated. 2. Blur the image. When opening the scanned image in Photoshop, use a Gaussian blur filter to slightly distort the dot shape. Generally close to 0.7 pixels will do well. 3. Check the color channel. In many cases, moire only affects one or two channels, click the color channel in the Channels panel to check. After finding the problematic color channel, apply the Gaussian Blur or Speckle Filter again using the above method to find out the abnormal dot value and average it. 4. Reduce the resolution. After blurring the image, reduce the image resolution to the desired value. Select Image \ Image Size, select Constrain Proportions and Resample Image options, and enter new values ​​in the resolution field. When Photoshop interpolates at the new resolution, each pixel value must be recalculated, which further removes the number of moire. If there are still slight patterns, check the color channel again and do a Gaussian blur with a smaller value (0.3 to 0.5 pixels). 5. Sharpen the image. When applying the vignetting mask filter to the descreening filter, you must strike a balance between emphasizing image details and exaggerating the moire that is not easy to remove. When previewing the effect of the filter, set the quantity value to the texture to start highlighting The previous value. One of the main advantages of a tubular picket fence is its strength and durability. Tubular picket fences are commonly used in residential, commercial, and industrial settings. 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