To this day, Topaz InFocus is still be considered to be one of the best sharpening tools on the market. It also works, to a certain degree, on blur due to camera shake or from a moving object. This method works much better for small and moderate blurs. We were the first company to bring this tech to photographers when we released a Photoshop plugin, Topaz InFocus. There was a break-through in the deconvolution algorithm to make it feasible to use on a PC. At its creation, normal photographers did not have access to this tech due to the computer speed and the stability of the algorithms. This type of method was first developed primarily for astronomy and later for spy satellites. Thus, removing blur is modeled mathematically as Deconvolution. This function summarizes the blurring process as a mathematical operation called Convolution. This disk represents the so-called point spread function. You will see, instead of a single bright point, a small blurry disk. Imagine you are looking through a camera at a star at night. The second type of sharpening method is called Deconvolution. Over using a sharpening filter that uses this method will create images with artifacts such as “fat edges”, “halo”, and noise amplification. The problem is that when boosting high-frequency photo components, the tool will also also boost noise and artifacts in photos. The Image Filtering method works well if you just need to sharpen the photo slightly, but if your photo has a bigger blur, it does not work well. In Photoshop, “Sharpen”, “Sharpen More”, “Sharpen Edge” and “Unsharp Mask” all use this type. Since this method is fast, most software sharpen tools use this method. Generally, this technique will works for photos with just a little blur. Therefore, applying a filter that boosts high-frequency will make the photo look sharper. The basic idea is simple: blurry images lack spatial high-frequency components. The first type of sharpening is Image Filtering. Up until now, the photo sharpening tools in software typically use one of two type methods: image filtering or deconvolution. Now let’s go into a technical explanation about how a given software sharpens your images. Unless your image has a very small blur, existing software “Sharpen” functions do not work well. While we hope that getting a sharp picture will not be a problem when using a sharpening software, we know that’s not always the case. For example, Photoshop has no less than 6 different “sharpen” filters on my last count. That is why almost every photo editing software provides a “Sharpen” feature. We’ve also invested time in learning techniques, tips, and tools for shooting sharp photos, like lugging around a sturdy but heavy tripod, setting proper shutter speed, learning about depths of field, proper focus, and so on and so forth.Įven with the best equipment and expert techniques, we sometimes still end up with images that could be sharper. As photographers, we want to shoot sharp photos, period! Our goal of getting sharp images is one of the major factors in the thousands of dollars we spend on good cameras and lenses with features like optical stabilization.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |