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Comments (5)

pftbest avatar pftbest commented on August 16, 2024

curiously enough this code works fine:

package main

import (
    "github.com/disintegration/imaging"
    "github.com/nfnt/resize"
    "os"
)

func main() {
    reader, _ := os.Open("test/1.jpg")
    defer reader.Close()
    m, _ := imaging.Decode(reader)
    m = resize.Resize(32, 32, m, resize.Bicubic)
    file, _ := os.OpenFile("test/1.png", os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0644)
    imaging.Encode(file, m, imaging.PNG)
    defer file.Close()
}

but disintegration/imaging library has its own resize function, so there is no point in using them both together.

from resize.

nfnt avatar nfnt commented on August 16, 2024

I can see the artifacts in the resulting image but judging from your code it seems that the resize package is not responsibly for that. The only thing that's changed is the call to imaging.Encode which wraps png.Encode, i.e. both samples /should/ do exactly the same. How did you create the expected image?

from resize.

pftbest avatar pftbest commented on August 16, 2024

expected image was created using resize function from imagine library using the code similar to my second example.
i think the reason for such strange behaviour is that im loading image using imagine.Decode. it always converts image to NRGBA format and sets image boundaries to start from (0,0).

P.S. have you tried to run my code? can you reproduce the issue?

from resize.

sharpner avatar sharpner commented on August 16, 2024

I had the same problem: Upscaling this image resulted in an very white and strange coloring.

testfile

from resize.

nfnt avatar nfnt commented on August 16, 2024

Fixed with commit dc93e1b. This would only happen with JPEG images, as these use chroma subsampling.

from resize.

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