Fix Low-Quality Pics Instantly with Photoshop's New AI!

PiXimperfect
1 Jan 202307:29

TLDRThe video script introduces a powerful technique for enhancing low-quality images with significant artifacts. It outlines a step-by-step process using the 'Neural Filters' feature within a photo editing software, focusing on the 'JPEG Artifact Removal' tool. The method involves duplicating the background layer, applying the filter, and adjusting its strength for optimal results. The script also addresses limitations, such as imperfect fixes on certain areas, and offers solutions like using a smart filter mask to restore details and 'Surface Blur' to blend the image smoothly. The tutorial is practical, catering to both basic and advanced users looking to improve their image editing skills.

Takeaways

  • ๐Ÿ–ผ๏ธ The script discusses a method to improve the quality of low-quality images with significant artifacts.
  • ๐Ÿ’ก The first step involves duplicating the background layer in an image editing software.
  • ๐ŸŒ The script mentions the use of 'Neural Filters' within the editing software to enhance image quality.
  • ๐Ÿ“ธ A specific feature called 'JPEG Artifacts Removal' is highlighted for its ability to reduce artifacts.
  • ๐Ÿ” Users can adjust the strength of the 'JPEG Artifacts Removal' to achieve the desired effect.
  • ๐ŸŽจ The script provides a 'before and after' comparison to showcase the effectiveness of the technique.
  • ๐Ÿ”ง The output can be set to 'Smart Filter' allowing for non-destructive editing and later adjustments.
  • ๐Ÿ–Œ๏ธ The script suggests using masks to apply different strengths of 'JPEG Artifacts Removal' to specific areas.
  • ๐Ÿ’ป The process is noted to be device-based, meaning it doesn't require cloud processing.
  • ๐Ÿ› ๏ธ The script acknowledges that there may be limitations to the method, especially with heavily compressed images.
  • ๐ŸŽจ Additional techniques like 'Surface Blur' are introduced to further refine and fix remaining issues in the image.

Q & A

  • What is the primary issue with the image discussed in the script?

    -The primary issue with the image is its low quality, which is characterized by the presence of many artifacts and a small file size of only 29 KB.

  • How does the script suggest improving the quality of a low-resolution image with artifacts?

    -The script suggests using a feature called 'Neural Filters' to improve the image quality. Specifically, it recommends making a copy of the background layer and applying 'JPEG Artifacts Removal' within the filter to enhance the details and reduce artifacts.

  • What is the advantage of setting the output to 'Smart Filter'?

    -Setting the output to 'Smart Filter' allows users to adjust the strength of the filter later, providing more flexibility and control over the editing process.

  • How can different strength values be applied to various areas of an image?

    -Different strength values can be applied by creating masks for different areas and adjusting the strength accordingly. This can be done by duplicating the layer and applying varying strengths to different sections.

  • What is the 'catch' mentioned in the script when dealing with compressed JPEG images?

    -The 'catch' is that even after using the 'JPEG Artifacts Removal' filter, some areas of the image may not be fixed properly, especially if the original file is lost and only a compressed version from social media is available.

  • How does the script suggest fixing areas that are not properly addressed by the 'JPEG Artifacts Removal' filter?

    -The script suggests using a combination of techniques, including painting back details with a mask, creating a 'skyfix' layer with surface blur to maintain edges, and adjusting the threshold to recover edges and blend the image seamlessly.

  • What is the purpose of the 'Surface Blur' filter as described in the script?

    -The 'Surface Blur' filter is used to blur an image while preserving the edges. This is particularly useful for fixing large areas like the sky without blurring the edges of objects in the image.

  • How can the 'Sky' selection be made in the editing process?

    -The 'Sky' selection can be made by using the 'Select' menu and choosing 'Sky'. This automatically selects the sky portion of the image, allowing for targeted adjustments.

  • What is the significance of the 'threshold' setting in the 'Surface Blur' filter?

    -The threshold setting in the 'Surface Blur' filter determines which parts of the image will be blurred. By adjusting the threshold, you can control the degree of blurring and ensure that only the intended areas are affected.

  • What is the final recommendation for dealing with JPEG artifacts and banding in images?

    -The final recommendation is to use the 'JPEG Artifacts Removal' filter first, and if that does not fully resolve the issue, to employ 'Surface Blur' to fix remaining banding, while carefully adjusting the threshold to maintain the edges and details of the image.

  • How can users stay updated with similar tips, tricks, and tutorials?

    -Users can stay updated by subscribing to the channel, liking the video, and ringing the bell to receive notifications for future content, including more tips, tricks, and tutorials.

Outlines

00:00

๐Ÿ–ผ๏ธ Enhancing Low-Quality Images with Neural Filters

This paragraph discusses a technique to improve the quality of low-resolution images with significant artifacts. The process involves duplicating the background layer and applying a feature called 'Neural Filters' to remove JPEG artifacts. The user can adjust the strength of the filter to achieve the desired effect. The method is showcased with before-and-after comparisons, demonstrating its effectiveness in restoring image details. However, it is noted that the technique may not always work and there is a 'catch' that will be addressed later. The example also illustrates how to apply different strength values to various areas of the image for a more customized result.

05:02

๐ŸŽจ Fixing Compressed Image Artifacts and Sky Blurring

The second paragraph delves into the limitations of the previously discussed method when dealing with compressed images from social media. It introduces a practical approach to fixing issues that the neural filters cannot resolve. The technique involves making a copy of the image, applying the 'JPEG Artifacts Removal' filter, and using a smart filter mask to restore details. The paragraph also covers the use of 'Surface Blur' to fix lines in the sky without blurring edges. A detailed process is provided, including selecting the sky, applying the blur, and using the mask to limit the effect to the sky only. The result is a visually pleasing, artifact-free image. The paragraph concludes with a reminder to utilize the JPEG artifacts removal and surface blur techniques when necessary.

Mindmap

Keywords

๐Ÿ’กLow Quality Image

The term 'low quality image' refers to a digital image that has poor visual clarity, often due to low resolution or excessive compression, resulting in the presence of artifacts. In the context of the video, the low quality is characterized by the image's small file size of 29 KB and visible artifacts that detract from the image's details. The video aims to address this issue by introducing a method to improve the image quality despite the initial limitations.

๐Ÿ’กNeural Filters

Neural filters are a class of digital image processing tools that use artificial neural networks to apply various effects or enhancements to images. In the video, neural filters are presented as a powerful feature that can help in improving the quality of low-resolution images by reducing or removing JPEG artifacts. The use of neural filters is central to the video's theme of restoring image details and reducing artifacts.

๐Ÿ’กJPEG Artifacts

JPEG artifacts are visual distortions that can appear in images as a result of compression. These artifacts manifest as blockiness, blurriness, or pixelation and are often more noticeable in images with a lot of fine details or high contrast areas. The video discusses a method to reduce these artifacts using neural filters, which is crucial for restoring the image's original appearance.

๐Ÿ’กImage Resolution

Image resolution refers to the dimensions of an image, typically measured in pixels. A higher resolution means more pixels and thus more detail in the image. However, the video script indicates that the issue with the image is not the resolution but the presence of artifacts due to low quality, which is related to the file size and compression rather than the number of pixels.

๐Ÿ’กArtifact Removal

Artifact removal is the process of eliminating or reducing unwanted visual elements in an image that are not part of the original scene. In the context of the video, this refers specifically to the removal of JPEG artifacts caused by compression. The video presents a method using neural filters to achieve this, which is central to improving the image's overall appearance.

๐Ÿ’กSmart Filter

A smart filter is a non-destructive editing feature in image editing software that allows users to apply filters to an image without permanently altering the original pixels. This provides the flexibility to adjust or remove the filter effects at any time. In the video, the user is advised to set the output to 'Smart filter' so that the strength of the JPEG artifacts removal can be adjusted later if needed.

๐Ÿ’กMasking

Masking in image editing is the process of selectively altering or protecting parts of an image. It involves creating a layer or area within the image that can be edited independently from the rest. The video discusses using a mask to selectively apply different strengths of the 'JPEG artifacts removal' to different areas of the image, allowing for more precise control over the editing process.

๐Ÿ’กSurface Blur

Surface blur is a type of image blur effect that selectively blurs areas of an image while preserving edges and details. Unlike a standard blur, which smooths the entire image, surface blur allows for a more controlled blurring effect that can help in fixing specific issues without losing the sharpness of the image's details. In the video, surface blur is used to address areas where the 'JPEG artifacts removal' did not fully fix the issues.

๐Ÿ’กLayer Duplication

Layer duplication in image editing involves creating an exact copy of an existing layer. This allows for non-destructive editing, as changes can be made to the duplicate layer without affecting the original. In the video, the user is shown how to duplicate layers to apply different strengths of the 'JPEG artifacts removal' to various parts of the image, providing a more tailored editing approach.

๐Ÿ’กImage Compression

Image compression reduces the file size of an image by minimizing the amount of data it contains. This can be achieved through various algorithms that remove redundant or less important information. However, excessive compression can lead to a loss of image quality and the introduction of artifacts. The video addresses the common issue of image compression, particularly in the context of sharing images on social media, which often involves significant compression.

๐Ÿ’กNon-Destructive Editing

Non-destructive editing refers to techniques in image editing where changes are made in a way that the original image data remains unaltered. This allows for flexibility to revert or modify the edits without losing the original quality. In the video, the use of smart filters and masks exemplifies non-destructive editing, as these allow the user to adjust or remove effects without permanently changing the image.

Highlights

The transcript discusses a method to improve low-quality images with artifacts by using a specific feature.

The image size of 29 KB is identified as a factor contributing to the low quality.

A technique is introduced to enhance image details by duplicating the background layer and applying a filter.

The 'Neural Filters' feature is mentioned as a powerful tool for image enhancement.

JPEG artifact removal is highlighted as a specific filter that can significantly improve image quality.

Adjusting the strength of the JPEG artifact removal can customize the level of detail restoration.

The use of Smart Filters allows for non-destructive editing and the ability to adjust the strength later.

The transcript provides a before-and-after comparison to demonstrate the effectiveness of the technique.

Different strength values can be applied to different areas of an image for a more nuanced enhancement.

The transcript addresses a common issue of losing the original file and only having a compressed JPEG from social media.

The process of using the JPEG artifact removal on a compressed image is described, including its limitations.

A practical solution for fixing areas that do not improve with the artifact removal is provided using masks.

The transcript introduces a method to fix the sky in an image using surface blur while preserving edges.

The use of a visible layer or merged layer is suggested to apply the sky fix effectively.

Surface blur is preferred over Gaussian blur for maintaining edges during the blurring process.

A step-by-step guide is provided for using surface blur to fix the sky, including adjusting the threshold and radius.

The transcript concludes with a summary of the techniques discussed for fixing JPEG artifacts and sky issues in images.

The video creator expresses gratitude to supporters and encourages viewers to engage with their content.