quality_QualityBRISQUE

qualityclassOpenCV 5.0.0

import { quality_QualityBRISQUE } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: PSNR and SSIM quality metrics →

Measure selected differences or quality cues between images, or estimate quality without a reference.

VISUAL WALKTHROUGHSimilarity

REFERENCE INPUTReference image

Compare aligned images with the same numeric range.

→

RESULTAggregate the error

These values are computed from the displayed 16 × 12 arrays. SSIM and other perceptual metrics use different definitions.

Computed MSE and PSNR example. Scalar error metrics summarize a spatial difference; they do not explain perceptual quality by themselves.

Native object: release it with using or delete(). Factories can return null; check before calling methods. Inherits quality_QualityBase.

BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator) is a No Reference Image Quality Assessment (NR-IQA) algorithm.

BRISQUE computes a score based on extracting Natural Scene Statistics (https://en.wikipedia.org/wiki/Scene_statistics) and calculating feature vectors. See Mittal et al. [Mittal2] for original paper and original implementation [Mittal2_software] .

A trained model is provided in the /samples/ directory and is trained on the LIVE-R2 database [Sheikh] as in the original implementation. When evaluated against the TID2008 database [Ponomarenko] , the SROCC is -0.8424 versus the SROCC of -0.8354 in the original implementation. C++ code for the BRISQUE LIVE-R2 trainer and TID2008 evaluator are also provided in the /samples/ directory.

Upstream declaration ↗

Constructors and members

static compute1

static method for computing quality

compute1(img: Mat, model_file_path: EmbindString, range_file_path: EmbindString): Scalar;

img

image for which to compute quality

model_file_path

cv::String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml

range_file_path

cv::String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml

Returns

cv::Scalar with the score in the first element. The score ranges from 0 (best quality) to 100 (worst quality)

Upstream declaration ↗

static create

Create an object which calculates quality

create(model_file_path: EmbindString, range_file_path: EmbindString): quality_QualityBRISQUE | null;

model_file_path

cv::String which contains a path to the BRISQUE model data, eg. /path/to/brisque_model_live.yml

range_file_path

cv::String which contains a path to the BRISQUE range data, eg. /path/to/brisque_range_live.yml

Returns

The quality_QualityBRISQUE | null result.

Upstream declaration ↗

static create1

Create an object which calculates quality

create1(model: ml_SVM | null, range: Mat): quality_QualityBRISQUE | null;

model

cv::Ptrcv::ml::SVM which contains a loaded BRISQUE model

range

cv::Mat which contains BRISQUE range data

Returns

The quality_QualityBRISQUE | null result.

Upstream declaration ↗

static computeFeatures

static method for computing image features used by the BRISQUE algorithm

computeFeatures(img: Mat, features: Mat): void;

img

image (BGR(A) or grayscale) for which to compute features

features

Output destination, filled by the native operation. output row vector of features to cv::Mat or cv::UMat

Upstream declaration ↗

clone

Create another handle to the same native object. This retains the object without copying its pixels or algorithm state; dispose both handles separately.

clone(): this;

Returns

The this result.

compute

Computes BRISQUE quality score for input image

compute(img: Mat): Scalar;

img

Image for which to compute quality

Returns

cv::Scalar with the score in the first element. The score ranges from 0 (best quality) to 100 (worst quality)

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.