Perfect Resize Software

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Paulette Dzurilla

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Aug 3, 2024, 4:29:24 PM8/3/24
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ON1 Resize AI, the next-generation AI image resizer, gives photographers the highest quality photo enlargements. This super-resolution photo resizer software will allow any photographer to enlarge photos while quickly maintaining and recovering incredible detail and sharpness.

Our photo resizer software can virtually reconstruct a face from modest details to realistic features and textures. You can turn this feature on or off for each face as well as control the overall strength to blend best with the original photo.

For original photos with high noise or JPG artifacts, you can now use the built-in noise reduction, powered by NoNoise AI, to reduce the noise and artifacts as part of the resizing workflow, leading to higher quality enlargements.

Tools for Printing BigPhoto enlargement software should deliver the highest quality photo prints. ON1 Resize AI excels at making prints using state-of-the-art technology. You can enlarge your images to any size and not lose sharpness or details in your prints.

The export feature in ON1 Resize AI makes it easy to process a single photo, a handful or hundreds of them. Not only can you control the size, but the file type, naming, location, etc. You can even apply gallery wrap or watermarks on the fly.

When it comes to preparing your photo to print, knowing the proper resolution for your printer and the correct amount of sharpening for your paper choice can be daunting. ON1 Resize AI's built-in presets make this a breeze. Simply pick the kind of printer, the type of paper, and the size.

Resize AI goes beyond the average plugins. In Capture One and Lightroom, you can batch process easily with powerful new resizing options. Adobe Photoshop can handle layered files with masks, alpha channels, text, and adjustment layers in RGB, CMYK, Grayscale, and LAB.

Buy and own ON1 Resize AI 2023.5 outright, or get it inside Photo RAW 2024.5 with all the other ON1 apps in a single editor. Subscribe to ON1 Everything instead for all current and future apps and first-class benefits.

I cropped a small section from one of my images, then resized it by 400% using PhotoZoom Pro 4, onOne Perfect Resize 7, and Photoshop. For PhotoZoom and Perfect Resize I used the default enlargement settings. For Photoshop I used the Bicubic Sharper method. This resized the original image from 666x650px to 2664x2600px (2665x2601px for Perfect Resize).

For viewing on screen, I prefer the Photoshop resized version. The Perfect Resize and PhotoZoom Pro versions both look like they have had a watercolour paint filter or something similar applied to them.

Normally I don't print my photos, but there's not much point testing image resizing programs without prints, since that's what enlarging an image is usually used for. So I printed each file through Photoshop on some Ilford glossy photographic paper.

The colours of the bush and telegraph pole where they are against the sky look much better in the printed Perfect Resize image than the other two. The Photoshop version appears much more contrasty. However, they all look virtually the same (in terms of colour and tone) on the computer, so I think this is more likely down to the printer being a bit unpredictable.

So Perfect Resize seems like the best image enlargement software to me. However, from normal viewing distances (for larger images you generally view from further away), there is very little difference between any of the methods.

If you are unfamiliar with the ON1 range of products, you may remember it under its former name, Perfect Photo Suite. Part of that package was the industry-standard image resizing program once called Genuine Fractals. That later became Perfect Resize and is now called ON1 Resize AI. As its name suggests, it is an application designed to resize your photos. Also, it can enlarge pictures without loss of detail.

Once loaded, there is a series of presets on the left-hand panel. I found it best to start here and choose a preset closest to the desired final image. These allow you to crop and resize the image to match the photo to the media size you will be using. They are nicely sorted into different categories to help you quickly select the desired size and aspect ratio.

Once you have chosen a preset, further adjustments within the crop tool can be made to the aspect ratio and output size using the custom boxes at the top of the screen. Output sizes are specified in pixels, inches, mm, cm, or percentages. You can also choose the number of pixels per inch you want.

A 12-megapixel image shot with a 12-year-old camera and a standard quality lens, up-sized to 24 megapixels, the in-focus fibers on the felt hat in the middle of the shot remain sharp. Click the button to download a full-sized version.

You then have a series of adjustments available. I previously found the Genuine Fractals method of enlarging worked the best. This has been improved with the AI version for the images I tried with it. It still uses the patented fractal-based algorithm, but the AI optimizes the settings. A full explanation of how these functions work is available in the ON1 Resize User Guide.

Choosing the pre-programmed settings for landscape photos worked well for the images I tried for this review. However, like other programs, the default sharpening was too much for my camera's already pin-sharp images. Consequently, I reduced that setting down to zero. If you use a different brand with softer raw files, you may need to experiment with the sharpening to discover what works best for you.

The software worked best on images shot using a high-performance pro lens. If there are any defects, then the program will enlarge those too. Further tests showed that doubling and quadrupling an image worked well. Yet, it still was outstanding when resizing images from older cameras. I used a nine-year-old OM-D E-M1 16-megapixel Micro Four Thirds camera in the following example.

This is the previous version of ON1 Resize, shown to illustrate how the AI version will ultimately appear as part of the ON1 Photo Raw 2022 update that will be available in a few weeks. Currently, ON1 Resize AI just works as a stand-alone program and as a plugin for other applications.

Increasing the 16 MP image up to 32 MP was no challenge for the ON1 Resize, as you can see from the before and after 100% crop version of the above image. On the left is the original 16 MP image, and on the right is the enlarged version.

Unlike some other programs, it's great that it doesn't use customer data. Its AI learns from the thousands of images shot by the staff at ON1, all of whom are photographers. With other apps, it seems a bit off that after us buying their products, they expect to use our image data for free, so congratulations to ON1 for shunning that approach.

I mainly use this when creating large prints from smaller files, but I will also use it to accurately downscale files for printing too.

This application will be useful for those who want to upscale images for displaying on large, higher-resolution screens, although contemporary cameras give sufficient resolution for 4K. It will also be helpful to photographers with lower-resolution cameras and those who heavily crop their photos. Of course, those who print billboards will continue to use it to upscale their pictures.

It works as a plugin for Lightroom, Photoshop, Capture 1, and Serif Affinity, costing $99.99. Although, it is better value when purchased as part of the ON1 Professional Plugin Bundle that includes all the other On1 plugins at $149.99. For users on ON1 Photo Raw 2022, the Resize AI 2022 will be an included module as part of the following free update, due in a few weeks; the price of that varies with lots of options, from $79.99 for an upgrade perpetual license to $179.99 for an annual license that includes 1TB of cloud storage.

A professional photographer, website developer, and writer, Ivor lives in the North East of England. His main work is training others in photography. He has a special interest in supporting people with their mental well-being. In 2023 he accepted becoming a brand ambassador for the OM System.

I only get paid by people reading and commenting on my articles. Just looking through all your historical negative comments, you are doing a great job of helping support the writers. Thank you. I hope you get some sunshine into your life soon though.

First just recently I looked at Smugmugs pixel size requirements for a poster size print and surprised to find that my 12MP camera would do just fine, I print my Milky Way photos poster size and are awesome on the wall (I change out weekly). When Topaz came out with Gigapixel AI I thought everything had to be enlarged to at least 62MP, because everyone is/was chasing the MP camera race. So I enlarged every image. Now On1 Resize AI comes along and it also does great even pixel peeping on the monitor as well as using the magnify glass on a print. Today if you do your own printing either may do the job. But after reading about pixels needed for a print size a print shop/company does that for you if needed. I will admit that a 61 MP camera does a little better getting everything in even the unseen but you have to pixel peep to see! No matter the image a camera captures and the need for a LARGE print you still have a distance it has to be seen from. Another matter only a camera is sharp side to side and human vision, using both eyes, is clarity and sharp so very narrowly example following a car and looking at the rear center the tail lights are in your peripheral and are a blur or looking a the nightly moon directly is sharp but the foreground (in your peripheral) is blurry and the moon appears larger than any lense/camera can capture the way it is all seen. So your one eyed camera is sharper than what/the way you see everyday.

To help separate fact from fiction, I decided to take an engineering approach to do an analysis of how the resizing tools I have at my disposal really perform. To do this I started with an original image at full size, then created scaled down versions at 50 percent and 25 percent in Photoshop. I then took these smaller files and upsized them at 2x and 4x to see how they compared with their original file to better understand what was lost.

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