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Blur Hash Placeholders - Generates compact hash strings representing blurred versions of images for faster perceived loading.

Discrete Cosine Transforms - Uses a truncated discrete cosine transform to encode low-frequency image data into a compact string.

BlurHash Decoders - Converts BlurHash strings back into blurred image representations for fast placeholder display.

Component-Based Decoders - Reconstructs blurred images by decoding strings into horizontal and vertical color components.

BlurHash Encoders - Creates short, text-based representations of images for fast placeholder display while the full image loads.

Custom Alphabet Encodings - Provides a custom 83-character alphabet encoding for compact image placeholder strings.

Platform-Agnostic Algorithms - Defines encoding and decoding logic as a pure algorithm for independent implementations across languages.

BlurHash String Decoders - Converts BlurHash strings back into blurred image representations across multiple platforms.

Average Color Derivation - Derives region-specific average colors from DCT coefficients for efficient placeholder generation.

Placeholder-First Loading - Displays a blurred placeholder immediately while the full-resolution image loads asynchronously.

SVG Manipulation Tools - Compact SVG placeholders for image blurring.

Blurhash