Regenerating an image means taking the source data, for example a JPEG, PNG or GIF file and increasing its resolution by creating new pixels from the source data. It makes no changes to the original image but simply creates new pixels based on the existing ones. This process is called interpolation. The result is called a regenerated image or simply a ‘regenerated’.
Trying this with a low resolution image will result in an ugly image of low quality, as you will see below, so it is very important to know what you are doing before you try your hand at this.
The main problem with regenerating images is that they are created by adding together pixels of different depths (or colour values). Even if we can create an algorithm that works perfectly when given the same number of pixels of each type, different depths may cause problems. When we add together 2 pixels the visual effect depends on their distance apart, not just their colour value. This means that when we add together pixels of different depths we don’t get a smooth curve but rather something that looks like steps across the image instead:
To avoid these steps we need to know how much detail there is in the original image. If we were to regenerate an image that has less detail than
* What is Regeneration?*
Regeneration is the process of producing a higher resolution image from a lower resolution image. It is used to overcome the limitations of low resolution images, or to re-paint an existing piece of art using a different style.
Different techniques require different techniques and I’ve seen some pretty good tutorials on digital painting that don’t really cover this topic. So I can only hope to cover the basic techniques for those who may be interested in learning about it.
One thing you should keep in mind when regenerating images is that there are no shortcuts. You can use filters and other methods to get results faster, but trying to skip steps will not produce better results, only inaccurate ones. This is because the regeneration process relies on math and algorithms which are very sensitive to input data, so proper adjustments must be made at each step if you want the final image to look good. So whatever software you choose, follow its instructions carefully.
In the past decade, digital art has become a lot more popular. With the growth of companies like Adobe and Autodesk, people can create digital art for fun or for work.
But most don’t know how to do it. Sometimes artists don’t have the skills, but most of the time they don’t know how to find the information they need. This is why we’re here—to help you learn what you need to know about digital art and regeneration.
1. Image Interpolation
2. Using Filters and Effects
3. The Importance of Regeneration
4. File Formats and Exporting
5. Misconceptions: Resolution, DPI and Pixels
6. Tips for Starting Your Own Workstation
I’m going to assume you’ve got a raw image or something that’s not working out the way you want it to. If your image is pixelated, with low resolution, out of focus, etc. what do you do about it? The answer to that question depends on how much information you have about your image, and how much time and effort you want to put into it.
Thing is, when you’re starting with a low resolution image, there’s just no way around doing some interpolation. You need to, because if you don’t go ahead and do it, then every other kind of manipulation is going to be a major pain in the neck (and probably cause more damage than good).
So let’s talk about interpolation. And no, I don’t mean the kind of interpolation where you make something up. I mean the kind of interpolation where you generate new actual data points in between existing data points.
If all we had was our original low resolution image, and nothing else, then there are only so many things we could do before we started getting silly (and destroyed any chance of getting a decent quality result).
Regeneration of an image is a process of converting it from one format to another, which is done by either scaling or modifying the image in some way. This may be necessary when you want to scale your image down or make it clearer, sharper and/or in higher resolution. It can also be used as a means of editing images, such as removing unwanted elements and adding new ones.
Toon Boom’s Filters are useful when you need to regenerate an image or series of images, as they allow you to regenerate and resize images within the Toon Boom software. There are several filters that allow you to regenerate and resize your image, however the “Regenerate” filter is more suitable for this purpose. The “Regenerate” filter allows for regeneration at various sizes and resolutions, either by a percentage or by dimensions. It also allows for regeneration at high resolution (i.e. high quality), which is essential when creating digital art using tablet (iPad, Cintiq) or when creating digital art for print use, such as posters or postcards.
The first step to better images is understanding interpolation.
There are a number of problems with the way we currently create our digital images. The process, as it is now, produces a lot of artifacts, especially in areas of high contrast. We’ve written about these problems before and have even gone over some of the ways that Photoshop uses interpolation to make those artifacts go away. While useful, the process that Photoshop uses is not perfect.
TIFFS – The only real way to get around this issue is to use a different file format that supports high bit depth, but file size becomes an issue when working with large files.
Image Resize – Image resizing causes pixels to be added or culled from an image. This can cause pixelation if it isn’t done correctly, but there are times when it’s necessary (such as when creating thumbnails).
Jaggies – These occur when anti-aliasing falls short of smoothing out the edges, which happens often in resizing or enlarging images. A blur filter can mask this somewhat, but overall you want to reduce the chance of these occurring in the first place.
Interpolation – Interpolation refers to the process of generating new pixels from existing
It is widely agreed that the first digital image was generated by the Whirlwind computer in 1957. However, it was not until the early 80s that computers were first used to generate images as we know them today. It was in 1982 that Michael Noll devised a way to store color as RGB values within a file, called the “Noll Maps”. At first this method was not used widely due to its very large file sizes and slow loading times; however, software such as Photoshop now uses this technique to display and edit digital images.
Todays post is about using Noll Maps for what they were intended: creating digital art.
In order to use and understand Noll maps, you must first understand their basic structure. The first thing you need to know is that each Noll Map contains three 256×256 maps which are arranged in a 3×3 grid: one for each color channel (Red, Green, Blue).
Each of these 256×256 maps represents all possible colors that can be displayed on a computer monitor: 16 Million colors per map. So what if you want to display more colors than those contained in each map? You interpolate them.
When an image is saved as a JPG or PNG file, a number of pixels are