Question 1

How do I resize an image without losing quality in Go?

Accepted Answer

Use Imaging's Lanczos or CatmullRom filters for high-quality resizing. Lanczos offers sharp results for photos, while CatmullRom is faster with similar output, as shown in the filter comparison examples.

Question 2

Should I use Imaging or gift for my Go image processing?

Accepted Answer

Choose Imaging for basic, lightweight tasks with a clean API. Pick gift if you need advanced features like color space conversions, different output types, or easier effect chaining, as explained in the FAQ comparison.

Question 3

How to handle rotated images when opening them with Imaging?

Accepted Answer

Use the imaging.Open function with AutoOrientation(true) to automatically correct orientation based on EXIF data. This prevents issues where images appear rotated after resizing or other operations.

Question 4

Can Imaging save images in WebP or other modern formats?

Accepted Answer

Imaging's Save function relies on Go's standard image encoders, so it supports formats with registered encoders. For WebP, you may need to import additional libraries to enable encoding.

Question 5

What's the fastest filter for resizing in Imaging?

Accepted Answer

The NearestNeighbor filter is the fastest, but it lacks anti-aliasing. For a balance, Box is good for downscaling, and Linear is faster than cubic filters while providing smoother results.

Question 6

How do I apply multiple effects like blur and contrast adjustment in sequence?

Accepted Answer

Chain the functions by applying them one after another, since each returns a new image. For example, first call imaging.Blur, then imaging.AdjustContrast on the resulting image.

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