Aiarty Image Enhancer: Restore Old Photos and Recover Blurry Faces with AI (49% Lifetime License)

Restoring old photos is rarely as simple as increasing sharpness or removing visible damage. Many photographers and families are now digitizing decades-old prints, film negatives, and family albums to preserve them before physical deterioration becomes irreversible. However, scanned family photos and aging film prints often suffer from multiple issues simultaneously, including faded colors, scratches, dust, low-resolution scans, compression artifacts, and facial detail loss accumulated through years of storage, rescanning, and digital compression.

For photographers and archive enthusiasts, the challenge is restoring clarity without destroying the original texture and character of the image. Film grain is often mistaken for digital noise, facial details become overprocessed, and low-quality scans leave limited data for accurate restoration or upscaling.

Traditional workflows still rely heavily on manual Photoshop adjustments such as denoising, retouching, sharpening, scratch removal, and color correction, especially when processing larger photo archives or film scan collections.

AI-assisted restoration tools are increasingly being used to simplify repetitive cleanup tasks within a broader editing workflow. Designed around a restoration-oriented approach rather than one-click filters, Aiarty Image Enhancer combines denoising, deblurring, face recovery, scratch cleanup, upscaling, and color correction into a single workflow pipeline while maintaining more natural-looking results.

To celebrate its anniversary, the software is currently available at 49% OFF lifetime pricing, with the coupon code ANNIVERSARY providing an extra $5 off single products and $10 off bundles. The special offer runs through June 8.

The lifetime plan includes:

• Use on up to 3 Windows or Mac computers
• Unlimited access to all features
• Free lifetime upgrades and priority technical support
• 30-day money-back guarantee

How Aiarty Image Enhancer Fits Into Modern Photo Restoration Workflows

Rather than functioning as a one-click AI filter, Aiarty Image Enhancer is designed around a workflow-oriented approach for restoring old photos, film scans, and archived images while maintaining natural-looking detail.

A video demonstration showing real restoration results can be viewed below:

Its AI denoise and deblur tools help recover clarity from noisy or slightly soft scans without aggressively removing texture. A built-in Strength slider allows more controlled adjustments, which is particularly useful when working with film grain or older portraits where overprocessing can quickly create artificial-looking results.

The latest Face Restoration improvements focus on rebuilding blurred facial areas while preserving realistic skin texture and facial structure. For damaged prints, the integrated AI Eraser can remove dust spots, scratches, stains, fold marks, and other small distractions commonly found in archived photographs.

The software also supports AI upscaling for printing, digital archiving, and recovering low-resolution scans. Upgraded color controls help correct faded tones and yellow aging, while TIFF/DNG export support improves compatibility with Lightroom, Photoshop, and non-destructive editing workflows. Batch processing can further simplify repetitive cleanup work across multiple images or film scans.

A Practical Workflow for Restoring Old Photos

Step 1: Scan the Original Photo Properly

The quality of the restoration process still depends heavily on the original scan. For best results, scan photos at least 300dpi or higher, use TIFF when possible, avoid repeated JPEG compression, and clean the scanner surface before digitizing older prints.

Step 2: Reduce Noise and Upscale the Photo

The first stage of restoring old photos usually focuses on improving image clarity while preserving the original texture of the photo. In Aiarty Image Enhancer, denoising, detail enhancement, and AI upscaling are processed together within the same AI pipeline.

Choose a suitable AI model and upscale factor depending on your old/damaged photo restoration goal. Using x1 applies denoising and enhancement only, while higher upscale settings can help AI upscale photos from low-resolution scans and prepare restored photos for printing or digital archiving without heavily over-smoothing fine details.

Step 3: Restore Facial Details Carefully

Enable Face Restoration and choose the Fidelity mode to better preserve the original facial structure and maintain more realistic-looking results. Rather than aggressively sharpening every facial feature, Aiarty’s Face Restoration focuses on recovering eye clarity, hair detail, facial edges, and natural skin texture while avoiding an over-smoothed or artificial appearance.

Step 4: Remove Scratches, Dust, and Small Damage

Enable the AI Eraser and mask scratches, stains, fold marks, or other distracting elements. Working in smaller sections with a properly adjusted brush size generally produces more natural-looking results than masking large areas at once.

Step 5: Correct Faded Colors and Improve Contrast

With the Color option enabled, you can fine-tune temperature, tint, contrast, exposure, shadows, and other parameters to correct yellow tint, faded contrast, washed-out shadows, and uneven color fading commonly found in older photos, helping restore depth and readability without making the image look overly processed.

Step 6: Export the Restored Photo

Once restoration is complete, choose the output format, DPI, and quality settings before exporting the final image. TIFF and DNG formats are recommended for preserving image quality and maintaining compatibility with Lightroom and Photoshop workflows.

Notes for Getting Better Restoration Results

Old photo restoration results can vary depending on the condition of the original image, so small workflow adjustments often produce better outcomes.

Trying Different AI Models

Each AI model in Aiarty Image Enhancer is optimized for different enhancement scenarios.

• More-Detail GAN v3: Enhances detail and sharpness while reducing blur and noise
• AIGCsmooth v3: Optimized for AI-generated images and smoother surfaces
• Real-Photo v3: Designed for high-quality photos with more natural detail recovery

Experimenting with different AI models can help identify which one produces the most natural-looking old photo restoration for a specific image.

Adjusting the Strength Setting

If the restored image looks slightly waxy or overprocessed, lowering the Strength value can help preserve more natural texture and finer details.

Restoring Before Upscaling

For printing or digital archiving, it is generally recommended to complete denoising and face correction before applying upscaling, as cleaner base images usually produce more stable results.

In some cases, sequential upscaling (such as 2x + 2x) may also preserve detail better than applying a direct 4x upscale in a single pass.

Using Face Restoration Selectively

Face Restoration works best on photos where facial details are still partially visible but have become soft or faded over time. Fidelity mode keeps results closer to the original image, while Rebuild focuses more on reconstructing missing facial details.

Final Thoughts

The photo restoration workflow used in Aiarty Image Enhancer helps streamline the process while preserving more natural-looking detail compared to isolated manual adjustments. By combining cleanup and enhancement into a structured sequence, it reduces repetitive Photoshop work and improves consistency across different image types.

Beyond old photo recovery, the same workflow can also improve compressed social media uploads, AI-generated images, low-quality web photos, and images prepared for posters or large-format printing.

With the anniversary promotion, users can get the Aiarty Image Enhancer Lifetime License for only $74 (up to 52% OFF) with the code “ANNIVERSARY”, including lifetime access, lifetime free updates, and a 30-day money-back guarantee with no hidden fees.

The post Aiarty Image Enhancer: Restore Old Photos and Recover Blurry Faces with AI (49% Lifetime License) appeared first on Photo Rumors.

DJI currently holds a whopping 72.5% of the video camera market in Japan (Insta360 is at 12.5%):

DJI’s share of the video camera market has also risen, reaching an astonishing 72.5%, its highest ever. New products have also revitalized the entire video camera market. Sales in April increased significantly, with a 158.1% year-on-year increase in units and a 135.2% increase in sales value. This was revealed by the BCN ranking, which compiles actual sales data from 2,400 electronics retailers and online shops nationwide. (source)

Various DJI Osmo Pocket camera models currently hold the top 4 spots:

New DJI Osmo Pocket 4P camera teaser and additional information

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Here are pictures of the upcoming Sigma 85mm f/1.2 DG | Art lens for L/E mount (additional information):

Sigma 85mm f/1.2 DG | Art lens development announcement (L/E)

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Comparing the new Canon EOS R6V ($2,499) with the Nikon ZR ($2,197):

Canon EOS R6V vs. Nikon ZR specifications comparison

The Canon EOS R6V and Nikon ZR are both compact, full-frame, video-focused mirrorless cameras without an EVF. They prioritize internal RAW recording, strong IBIS, and run-and-gun usability in a small “cinema-style” body rather than traditional stills photography.

The Canon EOS R6V is a higher-resolution hybrid that builds on the R6 III sensor/platform with creator-friendly upgrades like active cooling and open-gate recording. The Nikon ZR is Nikon’s first Z Cinema camera, incorporating RED Digital Cinema technology for RAW recording, color science, and a more cinema-oriented design.

Key specs comparison:

• Sensor & Resolution Canon: 32.5 MP full-frame CMOS (≈6960 × 4640). Nikon: 24.5 MP full-frame partially stacked CMOS (same family as Z6 III). Advantage: Canon for stills, cropping, and higher-resolution open-gate video; Nikon for potentially better readout speed/low light with its stacked design.
• Processor Canon: DIGIC X. Nikon: EXPEED 7.
• Video Capabilities Canon: Up to 7K 60p RAW (Cinema RAW Lite), 7K 30p open-gate (3:2 full sensor height), oversampled 4K 60p, 4K 120p, high-bitrate options, Canon Log 2/3. Active cooling fan for sustained recording without overheating. Nikon: Up to 6K 60p (R3D/NE RAW codec), ProRes RAW options, 4K 120p, 15+ stops dynamic range in Log3G10, N-Log, HLG. Dual base ISO (800/6400). Advantage: Canon for higher resolution and open-gate flexibility (great for vertical/social content); Nikon for industry-standard RED RAW workflow and color science.
• Image Stabilization Both: 7.5 stops IBIS (Canon may reach 8.5 with compatible RF lenses via coordinated control). Tie: Excellent for both.
• Autofocus Canon: Dual Pixel CMOS AF II with excellent subject detection (people, animals, vehicles). Nikon: Advanced subject detection (people, animals, vehicles, planes) with auto mode. Slight edge: Canon Dual Pixel is often praised for reliability in hybrid shooting, but Nikon is very capable.
• Screen & Monitoring Canon: 3″ vari-angle touchscreen (≈1.62M dots). Nikon: Larger 4″ vari-angle DCI-P3 LCD (≈3.07M dots, 1000 nits brightness) – much better for bright outdoor use. Advantage: Nikon (significantly larger and brighter).
• Viewfinder: Neither has a built-in EVF (both are video-first designs with optional external EVF support via hot shoe).
• Audio Canon: Standard high-quality inputs. Nikon: Internal 32-bit float recording (a standout feature for clean audio without clipping worries). Advantage: Nikon.
• Storage Canon: CFexpress Type B + SD UHS-II (full-size slots). Nikon: CFexpress Type B + microSD. Advantage: Canon for easier media handling.
• Build & Ergonomics Both are compact and lightweight (Canon ≈688g with battery; Nikon ≈630g or lighter). Canon has a more traditional hybrid grip; Nikon has a blockier cinema-style body. Both have weather sealing and full-size HDMI on Canon (Nikon uses micro variants).
• Stills Performance Canon: Stronger – up to 40 fps electronic burst, better resolution for prints/cropping. Nikon: Capable but more video-prioritized (electronic shutter only).
• Battery & Power Canon: LP-E6P. Nikon: Standard Z battery. Real-world runtime depends heavily on cooling, codec, and frame rate.

Who Should Buy Which?

Choose the Canon EOS R6V if:

• You want higher resolution stills + video hybrid capabilities.
• Open-gate 7K recording and active cooling for long takes are priorities.

Choose the Nikon ZR if:

• You value RED RAW workflow, color science, and 32-bit float audio for professional post-production.
• A larger, brighter 4″ screen and compact cinema form factor matter more.

Overall: These are very close competitors aimed at similar users (creators who want full-frame RAW in a small body). The Canon edges out in resolution, cooling, and hybrid versatility; the Nikon stands out with its screen, audio innovation, and RED-backed RAW/color pipeline.

https://photorumors.com/2026/05/13/announced-canon-eos-r6-v-rf-20-50mm-f-4-l-is-usm-pz-lens-pre-orders-now-open/

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Here is what else is new:

New DJ-Optical 35mm f/3.5 lens for Leica M-mount displayed at the 2026 China P&E Imaging Show

Rock n Roll released two new versions of the Bauhaus II camera bag

Some of the latest, newly released Leica M lenses are currently in stock for the first time at Leica Store Miami

Sony a7V Firmware 2.00 Released

Sony HVL-F28RM and Sony HVL-F28RMA Firmware Updates Released

Canon EF70-200mm f/2.8L IS III USM Discontinued Abroad

Fujifilm X-H2 Grip Discontinued: An Indication The Fujifilm X-H3 Is Coming Soon

PP: Interview With Fujifilm Manager Yuji Igarashi – 40 Lens Ideas, The Future of X-Mount, and More

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