VLSI-DSP based real time solution of DSC–SRI for an ultrasound system

Sarawadekar, Kishor; Indana, Harihar Bharat; Bera, Debaditya; Banerjee, Swapna

doi:10.1016/j.micpro.2011.09.001

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…The proposed system leads to improved acceleration and performance of the design. The throughput is increased by 12 to 33% in terms of frame rate, with respect to the existing state-of-the-art works like [20][21][22]. Figures 15,16, and 17 show the denoising performances.…”

Section: Resultsmentioning

confidence: 97%

An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images

Pal

Kotal

Samanta

et al. 2016

International Journal of Reconfigurable Computing

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Digital image processing is an exciting area of research with a variety of applications including medical, surveillance security systems, defence, and space applications. Noise removal as a preprocessing step helps to improve the performance of the signal processing algorithms, thereby enhancing image quality. Anisotropic diffusion filtering proposed by Perona and Malik can be used as an edge-preserving smoother, removing high-frequency components of images without blurring their edges. In this paper, we present the FPGA implementation of an edge-preserving anisotropic diffusion filter for digital images. The designed architecture completely replaced the convolution operation and implemented the same using simple arithmetic subtraction of the neighboring intensities within a kernel, preceded by multiple operations in parallel within the kernel. To improve the image reconstruction quality, the diffusion coefficient parameter, responsible for controlling the filtering process, has been properly analyzed. Its signal behavior has been studied by subsequently scaling and differentiating the signal. The hardware implementation of the proposed design shows better performance in terms of reconstruction quality and accelerated performance with respect to its software implementation. It also reduces computation, power consumption, and resource utilization with respect to other related works.

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Section: Resultsmentioning

confidence: 97%

An Efficient FPGA Implementation of Optimized Anisotropic Diffusion Filtering of Images

Pal

Kotal

Samanta

et al. 2016

International Journal of Reconfigurable Computing

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“…The LLMF core for hardware implementation of 3 × 3 median filter is presented in [16,17] which uses a non-conventional algorithm for finding the median of nine values as shown in Fig. 2.…”

Section: Existing 3 × 3 Llmf Corementioning

confidence: 99%

“…In [16,17], the median of 3 × 3 values is determined using three steps: (i) sorting of rows; (ii) sorting of columns; and (iii) sorting of a diagonal. When these three steps are applied for finding a median of 5 × 5 values, it gives the wrong median, which is then corrected by the modified algorithm presented in Fig.…”

Section: Proposed 5 × 5 Llmf Corementioning

confidence: 99%

“…The hardware implementation of 3 × 3 median filter was presented in [16,17], but the higher window size, such as 5 × 5, provides improved smoothing of the image while preserving its edges, which could be advantageous for certain applications. For example, edge detection applied on a 5 × 5 median-filtered image would result in lesser false edges, which would further benefit the next level of processing, such as object detection in the edge-map [18].…”

Section: Introductionmentioning

confidence: 99%

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