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Evaluation of High-Efficiency Image Coding algorithm for dermatology images in teledermatology
Mohamad Amin Bakhshali1, Maryam Gholizadeh1, Pouran Layegh2
1Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Summary
High-Efficiency Image Coding (HEIC) offers superior image compression for teledermatology. This method demonstrates optimal performance in both objective and subjective assessments for dermatological images compared to JPEG and JPEG2000.
Area of Science:
- Dermatology
- Medical Imaging
- Computer Science
Background:
- Teledermatology is increasingly vital for remote skin condition diagnosis and management.
- Efficient image compression is crucial for teledermatology to reduce storage and transmission burdens.
Purpose of the Study:
- To objectively and subjectively assess High-Efficiency Image Coding (HEIC) for dermatological images.
- To benchmark HEIC against JPEG and JPEG2000 for teledermatology applications.
Main Methods:
- 25 clinical and 5 histopathology images were compressed using HEIC, JPEG, and JPEG2000 at various rates.
- Dermatologists and a dermatopathologist rated image quality for diagnostic and educational use.
- Objective metrics included peak signal-to-noise ratio (PSNR) and mean pixel color distance.
Main Results:
- HEIC outperformed JPEG and JPEG2000 in objective evaluations, especially PSNR.
- Mean color distance was lower for HEIC-compressed images.
- Subjective assessments confirmed HEIC's superior quality for clinical and educational purposes.
Conclusions:
- HEIC demonstrates optimal performance for compressing dermatology images.
- HEIC is a highly feasible method for enhancing teledermatology systems.
