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Upscale an illustration and increase details

Home Page: https://vilmacio.github.io/depixelate-app/

License: MIT License

Python 100.00%

black-white enhance illustration image-processing no-ai-used opencv python srcnn upscaling waifu2x

depixelate's Introduction

Depixelate

Upscaling and enhance low resolution images.

Usage

First of all, you might want to check out the Online Demo. Once done, let's code.

$ pip install depixelate

import cv2
import depixelate

original_image = cv2.imread('image.jpg')

result = depixelate.apply(original_image, 7, 600)

Params

The apply method accepts 3 parameters:

Image (Required): Original image to be changed.
Weight (Optional): Indicates the power of the gaussian-blur algorithm. The higher the value, the more shape distortion. It must be between 1 and 10. Default value is 6.
Width Scale (Optional): Indicates the width of the output image. Default value is 800.

Limitations

Depixelate library helps with logos and some graphics, but it doesn't help when maximum sharpness and detail is needed.
In the majority of cases, you'll want to improve the quality of low resolution images (about 300 pixels wide or less). Otherwise you might be a little disappointed.

Plans

Depixelizing Pixel Art Implementation

depixelate's People

Contributors

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Forkers

simrit1 abdelrahmanfarghali brugarolas

depixelate's Issues

Is it for bw image or pixel dot image only?

Hello. I tested the some colorful images and the performance is terrible. Do you intend this algorithm for binary or simple image only?

https://depixelate-api.herokuapp.com down

Nevermind -- the heroku app is down.

When I upload the image I get a CORS error in both Firefox and Chrome, it says: Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://depixelate-api.herokuapp.com/. (Reason: CORS request did not succeed)

~~I think it's because the herokuapp doesn't respond with the correct access-control-allow-origin header.~~

Error when running

Traceback (most recent call last):
File "C:\M-Tech\projects\mtech\lib\site-packages\PIL\Image.py", line 3231, in open
fp.seek(0)
AttributeError: 'numpy.ndarray' object has no attribute 'seek'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "C:\M-Tech\projects\ESRGAN\deblur.py", line 6, in
result = depixelate.apply(original_image, 7, 600)
File "C:\M-Tech\projects\mtech\lib\site-packages\depixelate.py", line 10, in apply
pil_image = Image.open(image).convert('RGBA')
File "C:\M-Tech\projects\mtech\lib\site-packages\PIL\Image.py", line 3233, in open
fp = io.BytesIO(fp.read())
AttributeError: 'numpy.ndarray' object has no attribute 'read'. Did you mean: 'real'?

Colors are burned (and blue and red channel are swapped)

Is it the intended behaviour? I edited out the blue and red channel swap by reconverting the end result, can I ask what's the reason it is needed without digging too much?

I'd like to ask the same question for the color channels being handled as maxed or empty instad of inbetween values.

Thanks

When installed through pip the pixelate.py file has an error

When installed through pip the line

pil_image = Image.open(image).convert('RGBA')

in depixelate.py is incorrect. In the repo there's the correct one which is

pil_image = Image.fromarray(image).convert('RGBA')

ModuleNotFoundError: No module named 'PIL'

When I try to import the module, I get an error.

$ python
>>> import depixelate
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/andrew/.asdf/installs/python/3.10.7/lib/python3.10/site-packages/depixelate.py", line 5, in <module>
    from PIL import Image
ModuleNotFoundError: No module named 'PIL'