TY  - BOOK
AU  - Ahmed Ayman Abdelmonem Ahmed Rezk
AU  - Ahmed Gomaa Radwan , 
AU  - Ahmed Hassan Madian , 
AU  - Ahmed Mohamed Soliman , 
TI  - FPGA realization for image processing techniques using haar transform and chaotic systems / 
PY  - 2021///
CY  - Cairo : 
PB  - Ahmed Ayman Abdelmonem Ahmed Rezk , 
KW  - Blur detection
KW  - Compression
KW  - Encryption
N1  - Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication; Issued also as CD
N2  - This thesis proposes a 3-in-1 standalone Field Programmable Gate Array (FPGA) system that can perform color image blur detection in parallel with compression and encryption.The proposed system can be integrated with digital cameras to process the captured images on-the-fly prior to transmission or storage. Based on the application, the blurred images can be either marked for future enhancement or simply filtered out.The compression scheme utilized by the proposed system is based on the following techniques: 3-level Haar Discrete Wavelet Transform (DWT), hard thresholding, and Run Length Encoding (RLE).The Haar DWT is also used in the blur detection to estimate the sharpness of the image edges. Accordingly, the Haar DWT is used as a common building block to save the resources.The encryption scheme utilized by the proposed system is based on the 128-bit Advanced Encryption Standard (AES), which is considered one of the most secure algorithms
UR  - http://172.23.153.220/th.pdf
ER  -