A region-based Principal Component Analysis (PCA) technique for medical image compression
Principal Component Analysis (PCA) is capable of completely decorrelating input data in the transform domain. However, PCA is limited in image compression because there is a need to encode the eigenvectors of the input data and thereby affects the rate-distortion performance. In an effort to improve...
محفوظ في:
المؤلف الرئيسي: | Lim, Sin Ting |
---|---|
التنسيق: | أطروحة |
اللغة: | English English |
منشور في: |
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utem.edu.my/id/eprint/26876/1/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdf http://eprints.utem.edu.my/id/eprint/26876/2/A%20region-based%20principal%20component%20analysis%20%28PCA%29%20technique%20for%20medical%20image%20compression.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Enhancement Of Medical Image Compression Algorithm In Noisy WLANS Transmission
بواسطة: Algaet, Mustafa Almahdi
منشور في: (2018) -
An efficient psychovisual threshold technique in image compression
بواسطة: Ferda, Ernawan
منشور في: (2014) -
Dimension Reduction For Classification Using Principal Component Analysis (PCA) To Detect Malicious Executables
بواسطة: Jamal, Zalifh
منشور في: (2017) -
Face recognition using modified singular-value-perturbed principal component analysis
بواسطة: Haron@Saharon, Umi Sabariah
منشور في: (2010) -
Segmentation of mri medical image using region growing method
بواسطة: Ahmed Al-Othman, Ahmed Basel
منشور في: (2011)