Mind Boggling A.I. to Fix EXTREME Blur!

PiXimperfect
10 Dec 202021:45

TLDRUmesh from Pixar shares his astonishment with a mobile AI application that enhances and fixes blurry images, even those with shallow depth of field. He demonstrates the app's ability to recover details in faces and restore old photos, pushing its limits with various tests. Despite some limitations, Umesh is impressed by the app's potential for both casual and professional use, suggesting it could be a game-changer if integrated into desktop software.

Takeaways

  • 🤖 The speaker, Umesh from Pixar, introduces a mind-boggling AI application that can fix extreme blur in photos, challenging the belief that desktop software is superior.
  • 📸 The AI application can enhance out-of-focus areas in a photo, such as a face originally not in focus due to a shallow depth of field.
  • 👁️‍🗨️ The software appears to invent details where there were none, possibly using sample images to fill in missing information.
  • 🔍 A before-and-after comparison demonstrates the AI's ability to bring back details in faces and other elements of a photo.
  • 🌟 The AI's performance is described as 'absolute magic' and 'totally out of this world', rivaling the impact of Photoshop's 'Select Subject' feature.
  • 🚀 The video will explore the application's potential for professional use, including fixing poor-quality selfies, restoration, and increasing low-resolution images.
  • 🔒 The AI application is cloud-based, suggesting it uses server-side processing and a database of images to enhance photos.
  • 💡 The software can be used for free, with a limit of five images per day, unless one chooses to pay to remove ads.
  • 📸 The AI can be tested on extreme cases, such as very low-resolution images, and can produce surprisingly detailed results.
  • 🎨 The AI's output can be further improved by using external upscalers to increase resolution and detail beyond the application's native capabilities.
  • 💬 The speaker expresses a desire for the AI application to offer higher-resolution exports and integration with professional software like Photoshop or Lightroom.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is a review of a mobile application called 'Remedy' that uses AI to fix extreme blur in images and enhance image quality.

  • How does the AI in the Remedy app work?

    -The AI in the Remedy app works by analyzing the image and using a database of sample images to fill in and enhance details that are missing due to blur or low resolution.

  • What is the limitation of the free version of the Remedy app?

    -The free version of the Remedy app allows users to process up to five images per day and includes advertisements.

  • What is the advantage of using Remedy for professionals?

    -The advantage of using Remedy for professionals is that it can save a significant amount of time and effort in restoring and enhancing images, especially in cases where manual retouching would be difficult or time-consuming.

  • What is the downside of the exported resolution from the Remedy app?

    -The downside is that the exported resolution from the Remedy app is limited and does not reach the full potential of the AI's capability, which can produce higher resolution images.

  • How can one overcome the limitation of the exported resolution?

    -One can overcome the limitation of the exported resolution by using external upscalers like Gigapixel AI, Image Larger, or other online upscalers to increase the resolution of the processed image.

  • What kind of images can Remedy app help restore?

    -Remedy app can help restore old photos, low-resolution images, and images where the focus was missed or blurred, by adding details and enhancing the overall quality.

  • What is the reviewer's recommendation for the Remedy app developers?

    -The reviewer recommends that the Remedy app developers should allow for higher resolution exports for professionals and consider releasing a desktop version or plugins for Photoshop and Lightroom.

  • How does the reviewer feel about the potential of AI in image enhancement?

    -The reviewer is flabbergasted by the potential of AI in image enhancement and believes that it is a brilliant application that can significantly improve workflow and save time in professional settings.

  • What is the reviewer's final verdict on the Remedy app?

    -The reviewer's final verdict is that the Remedy app is a fantastic tool for image enhancement and restoration, despite the current limitations in resolution and the need for a workflow that involves transferring images between devices.

Outlines

00:00

🤖 Introduction to AI-Powered Image Enhancement

Umesh from Pixar introduces the revolutionary capabilities of a mobile application that challenges traditional desktop software programs. He discusses his initial skepticism about mobile applications' ability to compete with professional workflows, but a recent discovery has changed his perspective. Umesh presents an example of a photo with shallow depth of field, where the focus is on the hands and the face is blurred. He then demonstrates how the app can enhance the image and bring the face into focus, despite it being an impossible task for traditional editing methods. The app seemingly invents details that the camera didn't capture, which Umesh finds astounding. He expresses his excitement about exploring the potential of this AI-powered tool further.

05:00

🎨 Restoring Old Photos and Enhancing Details

The video continues with Umesh exploring the application's ability to restore old photos and enhance details. He tests the app on a picture of his parents from 30 years ago, noting that while the photo is good, he wishes for more facial details. Using the app, he is able to bring out more definition in the faces, although there are some imperfections like slightly altered lip shapes and spectacle details. Umesh also discusses the limitations of the app, such as its inability to recover text from blurred certificates in the photo. He then pushes the app to its limits by testing it on a low-resolution image, amazed by the results and the app's ability to add details like eyelashes and improve overall image quality.

10:01

🔍 Examining the App's Limitations and Potential

Umesh delves deeper into the app's capabilities and limitations. He notes that while the app can enhance and restore images, it does not export in full resolution. Despite this, he believes the app is capable of higher resolution outputs, as seen when zooming in on individual faces. Umesh then discusses the app's performance in a blur test, where it manages to retain and improve facial features even in a heavily blurred image. He expresses his desire for the app to allow higher resolution exports, especially for professional use, and suggests that external upscalers could be used to overcome this limitation.

15:01

💡 Practical Applications and Workflow Integration

Umesh explores practical applications of the app, such as restoring blurry faces in photos. He demonstrates how the app can be used to bring focus back to faces in a photo and then integrate the enhanced image back into Photoshop for further editing. Umesh also discusses the potential of the app for professional use, acknowledging the challenges of working between computer and phone platforms and the need for external upscalers to increase resolution. He suggests that the app could save significant time for restorers and encourages the app developers to consider higher resolution exports for professionals.

20:01

📢 Conclusion and Final Thoughts

In the final paragraph, Umesh wraps up his thoughts on the AI-powered image enhancement app. He reiterates his amazement with the app's capabilities and expresses his hope for a Photoshop plugin or desktop version. Umesh acknowledges the app's current limitations but sees its potential for professionals if higher resolution exports were made available. He also addresses the subscription model, suggesting that for most users, the free version with its daily limit is sufficient. Umesh concludes by encouraging the app developers to consider the professional market and ends the video with a call to action for viewers to like, subscribe, and turn on notifications for future content.

Mindmap

Keywords

💡A.I.

Artificial Intelligence (A.I.) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, A.I. is used to enhance and fix blurry images, demonstrating its capability to invent and add details to photos that were initially out of focus. The video showcases the mind-boggling potential of A.I. in the field of image processing and restoration.

💡Enhance

In the video, 'enhance' refers to the process of improving the quality of images, particularly by increasing the sharpness and clarity of details that were initially indistinct or blurry. The term is used in the context of A.I.-powered applications that can automatically adjust and improve the visual quality of photographs, making them more visually appealing and suitable for various purposes.

💡Depth of Field

Depth of field is a photography term that describes the range of distance within a scene that appears acceptably sharp and in focus. A shallow depth of field means that a small portion of the scene is in focus, typically the subject, while the background and foreground are intentionally blurred. In the video, the concept is used to explain why the subject's face might be out of focus in a photo taken with a wider aperture, which creates a shallow depth of field.

💡Resolution

Resolution refers to the amount of detail an image holds, typically measured in pixels. Higher resolution images have more pixels and therefore more detail, while lower resolution images have fewer pixels and appear more pixelated or blurry. In the video, resolution is a key factor in the demonstration of how the A.I. application can recover details in low-resolution images, making them appear sharper and more detailed.

💡Restoration

Restoration in the context of the video refers to the process of repairing or rejuvenating old, damaged, or low-quality images. This can involve improving the sharpness, color, contrast, and overall visual appeal of the image. The video highlights the use of A.I. in restoration tasks, demonstrating how it can add details and improve the quality of old photos, making them look more vibrant and lifelike.

💡Unblur

Unblurring is the process of improving the clarity of an image that was initially blurred, either due to camera movement, incorrect focus, or other factors. In the video, the term is used to describe the A.I. application's ability to analyze and add details to blurry images, effectively reducing or eliminating the blur and making the image appear sharper and more defined.

💡Profile Picture

A profile picture is a photograph or other image that represents a person's identity on social media or other online platforms. It serves as a visual identifier and is often used to create a personal connection with others. In the video, the term is used to describe a photo that was taken and used as a profile picture on WhatsApp, which was initially out of focus but was later enhanced using the A.I. application.

💡Sample Images

Sample images are reference photos that are used to compare with or enhance other images. In the context of the video, the A.I. application is believed to use a database of sample images to identify and replicate features in photos that need enhancement. These sample images help the A.I. to understand what details should be added or adjusted to improve the quality of the original image.

💡Cloud-Based Software

Cloud-based software refers to applications that run on remote servers instead of being installed directly on the user's device. These applications are accessed over the internet, and they often store data and process tasks on the cloud, which allows for greater flexibility and scalability. In the video, the A.I. image enhancement application is described as cloud-based, meaning that the processing of images occurs on the application's servers rather than on the user's device.

💡Upscalers

Upscalers are tools or software that increase the resolution of an image without losing quality or introducing significant pixelation. They work by adding pixels to an image and using algorithms to estimate and fill in the details that would have been present in a higher resolution original. In the video, upscalers are mentioned as a solution to increase the resolution of images enhanced by the A.I. application, which has a limitation on the output resolution.

💡Workflow

Workflow refers to the sequence of steps or processes involved in completing a specific task or project. In the context of the video, the term is used to describe the series of actions taken to enhance and restore images using the A.I. application, including uploading images, using the enhance feature, and potentially further processing with other software like upscalers or Photoshop.

Highlights

Umesh from Pixar shares his amazement with a mobile application that outperforms traditional desktop software.

The app can enhance an out-of-focus photo by inventing details that the camera missed.

Before and after comparisons demonstrate the app's ability to bring back details in faces and firecrackers.

The software uses a cloud-based system, likely matching facial features with a database of images.

In a test, the app restored an old photo, adding details to faces that were originally blurry.

The app was also able to recover a low-resolution image, increasing its clarity significantly.

Despite some flaws, such as not perfectly replicating original features, the app's results are considered brilliant.

The app's ability to recover details from a severely blurred image is tested and shown to retain much of the original detail.

The app can be used to sharpen faces in a photo where focus was lost, even creating an illusion of shallow depth of field.

The app's current limitation is exporting in full resolution, but this can be overcome with external upscalers.

Umesh expresses a desire for the app to have a desktop version or plugins for Photoshop or Lightroom.

The app offers a free version with limitations, but it's sufficient for casual users who don't need to process more than five images daily.

For professionals, the app could save significant time in restoring and unblurring portraits, but the workflow requires back-and-forth between phone and computer.

Umesh suggests that the app developers could make a lot of money by offering higher resolution exports for professionals.

The video concludes with a recommendation for the app, highlighting its potential for both casual and professional users.