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Implementação do algoritmo de Richardson-Lucy em arquiteturas reconfiguráveis aplicado ao problema de borramento de imagens
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mosquera, Anacona Eduardo, Oscar |
| Copyright Year | 2015 |
| Abstract | This work presents the hardware implementation of an image restoration algorithm, in which the images are blurred by relative motion between camera and the scene. The blurred image process is mathematically modeled by a convolution process between the original image and the pointspread function (PSF) of the blurring system, being the image restoration the inverse process (a deconvolution process). The restoration algorithm that was implemented in this work is known as Richardson-Lucy (RLA) algorithm. In this case the RLA was implemented in an FPGA-based platform using the hardware description language VHDL (Very Hight Description Language), and assuming the absence of additive noise in the capturing image system. The methodology for evaluating the platform consists of simulating the designed architecture in the ModelSim platform, providing as data input the blurred images. The blurring process of the images was achieved by using the Matlab functions fspecial e imfilter, which allowed the simulation of blurred images by camera movements (displacement and angle). Additionally, the quality evaluation of the collected images was achieved using the SR-SIM (Spectral Residual Based Similarity) metric as well as by a visual verification of the images. The implemented system provides a processed pixel per clock cycle of the FPGA, after a latency time, being 12.425 times faster than the same algorithm implemented in software (running in the NIOS processor at 100 MHz). Additionally, comparisons have being done by running the same algorithm in a PC Intel Core-i3 with 3,2GHz. In this case, the algorithm implementation was developed using the OpenCV library. The results of simulations and respective testing with real images are also presented in order to give support to video applications. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://repositorio.unb.br/bitstream/10482/20034/1/2015_OscarEduardoAnaconaMosquera.pdf |
| Alternate Webpage(s) | https://doi.org/10.26512/2015.03.D.20034 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
