{"id":1926,"date":"2023-10-29T16:56:22","date_gmt":"2023-10-29T16:56:22","guid":{"rendered":"https:\/\/aihomedesign.com\/blog\/?p=1926"},"modified":"2024-10-17T11:05:44","modified_gmt":"2024-10-17T11:05:44","slug":"image-enhancement-revolution-by-ai","status":"publish","type":"post","link":"https:\/\/aihomedesign.com\/blog\/services\/image-enhancement-revolution-by-ai\/","title":{"rendered":"Image Enhancement Revolution Driven by AI: Transforming Pixels"},"content":{"rendered":"\t\t
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For a while now \u2013 and by while, I mean well past a year \u2013 there have been talks about a major paradigm shift in the realm of photo editing; one that has been immensely affected by artificial intelligence and discussed under a broad topic conceptualized as the image enhancement revolution by AI.<\/strong><\/p>

Sounds like a major change to some while others haven\u2019t yet fully grasped the idea. Let\u2019s take a moment, shall we, to examine the latest trends in real estate image enhancement and see how AI-powered platforms are prepared for a real real estate image enhancement.<\/a><\/p>

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Image Enhancement Techniques: Complete Overview<\/h2>

The question here, thoguh, is how image enhancement<\/a> is done. What changes are applied to those pictures? In what order are they applied? And is it possible to follow a one-size-fits-all recipe for all images?<\/p>

The image enhancement revolution by AI<\/a> hasn\u2019t happened overnight. The data preparation stage requires gathering lots of images and then applying multiple changes to them. Seemingly an arduous task that\u2019s made quite effortless and magical once your down with the development stage.<\/p>

White balancing<\/h3>

A typical photo needs several modifications to look its best, and one of the first modifications in image enhancement is white balancing<\/a>. White balancing, in simple terms, means adjusting the color temperature so that the image looks more natural.<\/p>

Removing unrealistic color casts and adding to the whiteness of white walls and roofs to make them brighter are two common practices in white balancing.<\/p>

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Shadow removal<\/h3>

The next step is to remove unwanted shadows that darken the photo. Using certain software such as Photoshop or Luminar, unwanted shadows can be removed so that our photo looks brighter and more beautiful.<\/p>

Color grading<\/h3>

Color grading is a well-known image enhancement technique<\/a> that modifies and improves the colors in your photo. In doing so, the hue, brightness, and saturation \u2013 which refers to the density of color in the image \u2013 undergo a certain level of modification, giving the picture an amazingly appealing look.<\/p>

Super-resolution enhancement<\/h3>

In certain cases, a real estate photo has poor resolution. This might be due to improper ISO, aperture, exposure, or a combination of the three. In such cases, super-resolution enhancement is the best treatment.<\/p>

This involves creating a copy of a poor-resolution image with doubled linear resolution. To put it another way, the enhanced image will have twice the height and width of the original photo. In terms of pixel count, the enhanced image has four times as many pixels as the original photo.<\/p>

Tone adjustment<\/h3>

Tone adjustment refers to the process of altering the tonal values of an image to achieve a desired look or to correct any exposure or color imbalances. It usually involves manipulating the brightness, contrast, and overall tonal distribution of the image. The right tone gives a highly inviting feel to the photo.<\/p>

De-noising<\/h3>

In terms of photography, noise is a distortion that looks like grainy patterns or irregular specks in images. It is the result of high ISO, compression, or low light.<\/p>

After identifying noise in a given image, the editor employs a neural network, much like the neurons in our brains, to reconstruct the affected part. To do so, it relies on various noisy and reference signals provided by the software.<\/p>

Window-related modifications<\/h3>

When there are windows in the photo, extra changes are in order. There is a major difference, in terms of exposure to light, between the two sides of the window. Usually, what is beyond the window is not clearly observable because of the light on that side.<\/p>

By increasing the color of the objects beyond the window and reducing the light, the picture looks much nicer, and you can achieve absolute homogeneity in the photo.<\/p>

HDR bracketing<\/h3>

In cases where there are several photos of the same place and from the same perspective (but with different exposures), HDR bracketing is the way to go. Merging those photos, the photographer\/editor obtains the best possible final look for a single photo.<\/p>

Distortion removal<\/h3>

Distortion, in simple terms, refers to the degree of skewness in images that are usually caused by imperfections in camera lenses. It is interesting to note that all images, no matter the lens quality, are to some extent distorted because of:<\/p>