Ultra low bitrate retinal image compression using integer lifting scheme and subband encoder
| Autor: | Yassine Habchi, Riyadh Bouddou, Ameur Fethi Aimer, Mohammed Beladgham |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Lifting scheme Computer Networks and Communications Computer science business.industry Color retinal image ENCODE Set partitioning in hierarchical trees Subband encoder Integer lifting scheme Wavelet Transmission (telecommunications) Blood vessels Hardware and Architecture Signal Processing Cohen daubechies-feaveau wavelet Effective method Computer vision Artificial intelligence Electrical and Electronic Engineering business Encoder Information Systems Integer (computer science) |
| Popis: | Recently, ophthalmic clinics have seen many complaints related to retinal diseases. The degree of clarity of the blood vessels (BV) in the eye can be an important indicator of some diseases affecting the retina such as diabetic retinopathy. To diagnose it, we need to intervene more than a medical team, especially in some difficult cases, through the exchange of medical images obtained by photography. This method has contributed significantly to the production of large data that can quickly saturate transmission, storage systems and increase processing time, so the need to compress images efficiently without modifying the content before transmission represents a major challenge. This paper provides an effective method for compressing color retinal images (CRI), which relies on the use of an integer lifting scheme (ILS) based on cohen daubechies-feaveau wavelet (CDFW9/7) and the set partitioning in hierarchical trees (SPIHT) to encode large coefficients. The obtained results demonstrate that the suggested method reduce algorithmic complexity, improve the retinal image quality and achieves high objective parameters values for ultra-low bitrate compared to the conventional methods. |
| Databáze: | OpenAIRE |
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