liveBook · Manning

Image filter

An image filter is an operation that transforms image pixels to produce a modified appearance or enhance visual features.

How 2 Manning books explain it

Web Components in Action

An image filter is a defined pixel transformation that produces a modified image or video frame.

How it is used
Applies pixel transformations to live camera frames rendered through canvas or WebGL.
How deep it goes
Explains canvas filtering, ImageData channel iteration, and WebGL shaders, but stops short of detailed shader implementation.
Examples
Demonstrates black-and-white conversion, random-pixel snow, sepia, greyscale, and edge-detection effects.
What you can do after
Build it from scratch by attaching canvas filters or processing frame pixels in JavaScript.

Read how Web Components in Action explains image filter →

Deep Learning with JAX

An image-processing operation that transforms pixels to produce a visual effect or enhance the image.

How it is used
Uses pixel transformations to denoise, sharpen, or artistically modify photos within an image-processing pipeline.
How deep it goes
Explains a complete processing sequence but leaves the specific filter implementation outside the supplied treatment.
Examples
Demonstrates filtering through a noisy photograph of a cat statue, with loading, noise simulation, sharpening, and saving.
What you can do after
Apply it via NumPy or JAX to process an image from loading through filtering and output.

Read how Deep Learning with JAX explains image filter →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.