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AI Photo Restoration and Colorizing

Education

Introduction

In this tutorial, we'll walk through the process of restoring and colorizing an image using advanced AI tools. The techniques we’ll explore will help enhance image quality, details, and overall aesthetics, resulting in a polished final product.

Step 1: Cropping

To begin with, we will crop out the unnecessary paper frame of the image. This is essential to focus on the subject without extra headroom obstructing the view. A simple crop can make a remarkable difference in how the image is perceived.

Step 2: Upscaling the Image

Next, we need to address the resolution of the image. Zooming in reveals that the original image lacks clarity and detail, particularly around the eyebrows and eyes. To remedy this, we will export the image as a PNG file, naming it 'mr1' for further processing.

We then upload this image to 'photorealization' software called GFP.GAN. This AI-driven platform quickly enhances the image, restoring details and scaling it up for better clarity. After processing, we download the new version, which we’ll refer to as 'mr2'. Comparing the two images, we can clearly see improvements—especially in the eyes, where the irises are now visible.

Step 3: Colorization with Palette.fm

Even though we've improved the resolution, the next step involves adding color. We will use a tool called palette.fm to colorize our image. The platform offers a variety of color palettes, which act similarly to Instagram filters, providing different coloring options.

After experimenting with various palettes, we find that the 'base' palette yields excellent skin tones and hair colors. We download the colorized image, but here's the catch: this version is actually lower in resolution than 'mr2'.

Step 4: Merging and Blending Colors

To resolve this, we copy the colorized layer and create a new layer in Photoshop. By adjusting the size of the color layer to fit over the high-resolution image, we use the 'color' blend mode to seamlessly merge the two layers. This allows us to maintain the higher resolution while incorporating the vibrant colors from the colorized version.

Step 5: Final Comparison

Finally, we examine the results. From the initial black-and-white image to the final colorized version, we see significant improvement in clarity, color depth, and overall realism—a natural look to the hair and skin tones. This process allows for creative freedom to use different palettes while ensuring high-quality resolution.

By utilizing tools like palette.fm for colorizing and GFP.GAN for upscaling, the restoration process becomes efficient and rewarding.

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FAQ

Q1: What tools are used for photo restoration?
A1: The primary tools used in this process are GFP.GAN for image upscaling and palette.fm for colorizing images.

Q2: What is the benefit of using blend modes in image editing?
A2: Blend modes allow you to combine two different layers effectively—maintaining the color characteristics while retaining the higher resolution of the original image.

Q3: Why do we need to crop the original image?
A3: Cropping removes any unnecessary elements from the frame, allowing the focus to remain on the subject and improving the overall composition.

Q4: How can I achieve higher resolution in my photos?
A4: Utilizing AI software like GFP.GAN can significantly enhance image resolution and details, resulting in sharper images.

Q5: Is palette.fm free to use?
A5: Often, tools like palette.fm offer free basic functions, but may also provide premium features for a fee. Always check the platform for specific pricing details.