Infrared image algorithm development and equipment adaptation

Image link, correction and enhanced infrared algorithm development services

Covering a total of 20 algorithms or engineering workflows from I001 to I020, it provides needs assessment, special implementation, SDK/API, platform adaptation and test acceptance for enterprise projects.

Submit project information · Get evaluation Return to all algorithm catalogs

Classification scope and enterprise project entrance

Algorithm numberI001–I020

Service content20 algorithmic or engineering workflows

Main contentInfrared original frame bit depth, endian and row step analysis, temperature matrix, radiation frame and display frame consistency check, gain file, range file and integration time identification, two-point/multi-point non-uniformity correction NUC

Delivery methodPhased evaluation, algorithm/model, SDK/API, deployment and test records

Specific algorithm development services

Infrared original frame bit depth, endianness and line step size analysis

Input: Vendor RAW/SDK frames

Output: linear DN matrix and metadata

Requires project-specific development and validation

View service details →I002

Temperature matrix, radiation frame and display frame consistency check

Input: RAW, temperature stream, AGC stream

Output: Alignment status and mapping relationship

Requires project-specific development and validation

View service details →I003

Gain file, range file and integration time identification

Input: frames and telemetry

Output: gear segments, switching points and invalid frames

Requires project-specific development and validation

View service details →I004

Two-point/multi-point non-uniformity correction NUC

Input: Blackbody multitemperature data

Output: Pixel Gain, Bias and Correction Frames

Requires project-specific development and validation

View service details →I005

Scene-based non-uniformity correction SBNUC

Input: continuous infrared video

Output: drift compensated frames and residuals

Requires project-specific development and validation

View service details →I006

Dead pixel detection and bad pixel map update

Input: flat field/blackbody/live frames

Output: stable bad pixels, transient bad pixels and confidence level

Universal foundation can be reused, requiring infrared adaptation

View service details →I007

Bad pixel spatial interpolation and edge preservation repair

Input: frames, bad pixel images

Output: Inpainted map and inpainted mask

Universal foundation can be reused, requiring infrared adaptation

View service details →I008

Row and column fixed pattern noise correction

Input: RAW sequence

Output: De-striped plot and row-column bias

Requires project-specific development and validation

View service details →I009

Periodic fringe frequency domain suppression

Input: IR frames

Output: Deperiodic noise map

Universal foundation can be reused, requiring infrared adaptation

View service details →I010

Dark field bias, thermal dark current and temperature drift compensation

Input: darkfield/telemetry/frame

Output: temperature drift correction result

Requires project-specific development and validation

View service details →I011

Lens vignetting and flat field correction

Input: Uniform radiation field

Output: flat field coefficients and correction plot

Need to be evaluated according to project conditions

View service details →I012

Frame management before and after shutter correction

Input: video, shutter events

Output: continuous video and invalid frame markers

Requires project-specific development and validation

View service details →I013

Time domain recursive noise reduction

Input: video

Output: Noise reduction sequence and motion protection mask

Universal foundation can be reused, requiring infrared adaptation

View service details →I014

Bilateral/non-local mean infrared noise reduction

Input: single frame or video

Output: edge-preserving denoising map

Universal foundation can be reused, requiring infrared adaptation

View service details →I015

Edge-preserving denoising of small targets with low signal and noise

Input: long-range infrared sequence

Output: Enhanced map and point target candidates

Requires project-specific development and validation

View service details →I016

Infrared blind deconvolution and motion deblurring

Input: Blurred frames/sequences

Output: Recovery map and quality score

Requires project-specific development and validation

View service details →I017

Infrared super-resolution and multi-frame reconstruction

Input: low resolution sequence

Output: High-resolution estimates and artifact flags

Requires special model and data verification

View service details →I018

Global AGC and percentile stretching

Input: high bit depth frame

Output: 8-bit display image and mapping parameters

Universal foundation can be reused, requiring infrared adaptation

View service details →I019

Local contrast, CLAHE and detail enhancement

Input: single frame

Output: Enhancement map and over-enhancement diagnosis

Universal foundation can be reused, requiring infrared adaptation

View service details →I020

Pseudocolor, isothermal zone and temperature scale rendering

Input: Temperature/DN matrix

Output: traceable display plots, color scales and thresholds

Requires project-specific development and validation

View service details →

Implementation and delivery methods

Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
Test acceptance and handoverRetest according to the agreed test set and target platform, and hand over the deliverables, test results and applicable conditions.

Requirements and technical solutions, input and output and interface field definitions
Algorithm library, model or SDK/API; delivery form is confirmed in the project plan
Sample program, parameter configuration, error status and calling instructions
Test set version, indicator definition, stratification results and failed sample records
Target platform adaptation, resource usage and running delay records
Version, dependencies, license, reproduction steps and applicable conditions description

Acceptance and capability boundaries

Each algorithm sets accuracy, repeatability, robustness, speed, resource usage and failure status indicators according to the output type.

Production performance and delivery scope are confirmed based on target equipment, independent samples and written acceptance indicators.

Project consultation

Define the Development Scope with Samples and Device Requirements

Image link, correction and enhanced infrared algorithm development services

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com