Publications

@article{WOS:001386823200001,

title = {Image Processing Hardware Acceleration-A Review of Operations Involved 

 and Current Hardware Approaches},

author = {Costin-Emanuel Vasile and Andrei-Alexandru Ulmamei and Calin Bira},

doi = {10.3390/jimaging10120298},

year  = {2024},

date = {2024-12-01},

journal = {JOURNAL OF IMAGING},

volume = {10},

number = {12},

publisher = {MDPI},

address = {MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND},

abstract = {This review provides an in-depth analysis of current hardware 

 acceleration approaches for image processing and neural network 

 inference, focusing on key operations involved in these applications and 

 the hardware platforms used to deploy them. We examine various 

 solutions, including traditional CPU-GPU systems, custom ASIC designs, 

 and FPGA implementations, while also considering emerging low-power, 

 resource-constrained devices.},

keywords = {image processing; neural networks; hardware accelerators; FPGA},

pubstate = {published},

tppubtype = {article}

}