![]() The "Inner Border" mode leaves the GIF dimensions unchanged but overwrites the pixels in the GIF animation. For example, if the GIF has the size 200×200 and the border size is 20, then the new GIF will have the size 220×220. The size of the GIF increases exactly by the border thickness. In this mode, GIF pixels near the edge are overwritten and new pixels are added around the GIF. Half of the line goes on the outside of frames and half of the line goes inside. The "Middle Border" mode draws a line exactly on the edge of frames. For example, if the input GIF is 200×200 pixels and the border size is 15 pixels, then the output GIF will be 230×230 pixels. This mode increases the dimensions of the GIF by twice the border width (because the borders go on all sides of the animation). The "Outer Border" mode leaves the animation as-is and draws a line around the animation frames. When adding a border around an animation, its dimensions can be either enlarged or preserved, depending on the border drawing mode. You can surround the animation with a line of any thickness and color, including a transparent line. You can download the final GIF below the output viewport.This is a browser-based program that adds a border to static and animated GIFs. You can stop the viewports at the first frame of the GIF and explore GIF properties in the options. The first viewport is for the original GIF and the second is for the GIF with noise. You can also immediately compare the original GIF and the GIF with white noise in the two adjacent viewports. If your input GIF already has transparent regions, you can choose whether to hit them with noise or not. For example, if you enter a range of 20% to 40%, then the noisy pixels will have alpha-transparency of 0.2 to 0.4, which will make them semi-transparent and almost invisible. There are two fields for this – the minimum and the maximum alpha channel values. You can also make noisy pixels translucent by adjusting the transparency level of the noise. To simulate an old film effect, you can convert the animation to grayscale in the options. The higher the noise level, the more errors are introduced in the GIF. The noise level can also be viewed as an error level. For example, if the noise level is 10%, then every pixel has a 10% probability to be substituted with a different color. The noise level is measured in percentage. The "Solid Color Noise" mode asks you to enter a list of specific colors and then the algorithm randomly uses them to create noise on the frame. The "Similar Tone Noise" takes the current pixel, creates a small color deviation, and overwrites the pixel with the deviated color. The "Random Color Noise" mode draws noise from randomly generated colors, which includes all possible RGB colors. The "Existing Color Noise" extracts the color palette from a GIF, then shuffles the palette, then picks random colors from the palette, and then randomly scatters them across the frame. ![]() It selects random color shades from white to black and changes random pixels in the GIF to this grayscale color shade. The "Monochrome Noise" mode adds noise to the frames using grayscale colors. There are several modes of digital noise that you can apply to a GIF. ![]() We created an algorithm that simulates noise and creates GIFs that look like old photographic film and old film stock. Static noise is especially noticeable in vintage films – they have grainy pixels everywhere. White noise deliberately alters pixels so that they become different from what they were in the starting frame. The changes can either be a random increase or decrease of pixel brightness or a random pixel color substitution that is applied to randomly selected pixels in a frame. White noise is defined as a random signal in form of pixel changes. This is a browser-based program that adds white noise (also known as static noise or digital noise) on top of a GIF animation.
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