Camera IQ Engineering

ISP Solutions & Tools for Camera IQ

Tansontech focuses on two areas: ISP Solutions for camera image quality engineering, and PixelScope software for RAW/YUV inspection, comparison, and analysis.

RAW/YUV HDR/LTM 3A BNR/TNR Color Infrared Embedded
Imaging Algorithms

Algorithms and analysis tools for camera IQ development

ISP Solutions cover algorithm modules, reference implementations, and integration support. PixelScope covers source data inspection and result analysis. Together they support camera, ISP, test, and algorithm teams throughout daily development.

Data ValidationCheck RAW/YUV format, resolution, bit depth, Bayer pattern, byte order, and multi-frame sequences.
Issue DiagnosisAnalyze exposure, noise, color, dynamic range, sharpening, and temporal stability.
Algorithm ModulesProvide algorithm design and reference implementations for HDR/LTM, 3A, BNR/TNR, Color, Infrared, and related imaging areas.
Result EvaluationUse pixel inspection, histograms, ROI statistics, image comparison, and sequence playback to verify gains.
Integration SupportSupport algorithm integration around target platforms, data formats, and calling interfaces.
Version SupportMaintain algorithm versions, parameter configuration, sample results, and issue diagnosis support.

From Samples to Algorithm Validation

A typical engagement starts with data and target definition, then moves through analysis, prototype validation, algorithm implementation, and integration support.

01

Data

Confirm sensor, lens, platform, RAW/YUV/RGB samples, and current image quality issues.

02

Analyze

Use PixelScope and offline tools to inspect source data, display results, and algorithm output differences.

03

Prototype

Validate algorithm direction, parameter limits, image quality gains, and key engineering risks.

04

Integrate

Provide algorithm implementation, interface notes, parameter configuration, and integration support.

Contact

ISP Solutions inquiry or PixelScope trial and licensing

Send the product type, data format, current issue, and target image quality to start the discussion.