Struct MultiHashFingerprint 

pub struct MultiHashFingerprint { /* private fields */ }

A multi-algorithm fingerprint containing hashes from multiple perceptual algorithms.

Provides enhanced similarity detection by combining results from multiple hash algorithms with weighted combination for improved accuracy.

Implementations

impl MultiHashFingerprint

pub fn exact_hash(&self) -> &[u8; 32]

Returns the BLAKE3 hash of the original image bytes.

pub fn ahash(&self) -> &ImageFingerprint

Returns the AHash-based fingerprint.

pub fn phash(&self) -> &ImageFingerprint

Returns the PHash-based fingerprint.

pub fn dhash(&self) -> &ImageFingerprint

Returns the DHash-based fingerprint.

pub fn get(&self, algorithm: HashAlgorithm) -> &ImageFingerprint

Returns the fingerprint for a specific algorithm.

pub fn compare(&self, other: &MultiHashFingerprint) -> Similarity

Compares two multi-hash fingerprints using weighted combination.

Uses weighted combination of algorithm similarities:

• 10% AHash similarity (average hash, fastest)
• 60% PHash similarity (DCT-based, robust to compression)
• 30% DHash similarity (gradient-based, good for structural changes)

Each algorithm’s similarity includes both global and block-level hashing for improved crop resistance. Block hashes are weighted at 60% and global hashes at 40% within each algorithm.

Uses the default block distance threshold of 32. Use compare_with_threshold for custom thresholds.

pub fn compare_with_threshold( &self, other: &MultiHashFingerprint, block_threshold: u32, ) -> Similarity

Compares two multi-hash fingerprints with a custom block distance threshold.

Arguments

• other - The fingerprint to compare against
• block_threshold - Maximum Hamming distance for a block to count as a match (0-64). Lower = stricter (fewer blocks qualify), higher = looser. Default is 32.

pub fn is_similar(&self, other: &MultiHashFingerprint, threshold: f32) -> bool

Checks if this fingerprint is similar to another within a threshold.

Uses the weighted combination score from compare().

Panics

Panics in debug mode if threshold is not in [0.0, 1.0]. In release mode, out-of-range or NaN thresholds return false.

Trait Implementations

impl Clone for MultiHashFingerprint

fn clone(&self) -> MultiHashFingerprint

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MultiHashFingerprint

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for MultiHashFingerprint

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for MultiHashFingerprint

fn eq(&self, other: &MultiHashFingerprint) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for MultiHashFingerprint

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Eq for MultiHashFingerprint

impl StructuralPartialEq for MultiHashFingerprint