An enhancement of edge preservation in OAMNHA denoising using texture boundaries

Nowadays, during the process of Image acquisition and transmission, image information data can be corrupted by impulse noise. That noise is classified as salt and pepper noise and random impulse noise depending on the noise values. A median filter is widely used digital nonlinear filter in edge preservation, removing of impulse noise and smoothing of signals. Median filter is the widely used to remove salt and pepper noise than rank order filter, morphological filter, and unsharp masking filter. The median filter replaces a sample with the middle value among all the samples present inside the sample window. A median filter will be of two types depending on the number of samples processed at the same cycle i.e, bit level architecture and word level architecture.. In this paper, Carry Look-ahead Adder median filter method will be introduced to improve the hardware resources used in median filter architecture for 5 window and 9 window for 8 bit and 16 bit median filter architecture.

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Spatial Interpolators for Intra-Frame Resampling of SAR Videos: A Comparative Study Using Real-Time HD, Medical and Radar Data

Current Signal Transduction Therapy ◽

10.2174/2213275912666190618165125 ◽

2020 ◽

Vol 15 (2) ◽

pp. 144-196 ◽

Cited By ~ 1

Author(s):

Mohammad R. Khosravi ◽

Sadegh Samadi ◽

Reza Mohseni

Keyword(s):

Computational Complexity ◽

Real Time ◽

Video Compression ◽

Nearest Neighbor ◽

Radar Data ◽

Edge Preservation ◽

Edge Information ◽

Video Codecs ◽

Comparative Results ◽

Interesting Area

Background: Real-time video coding is a very interesting area of research with extensive applications into remote sensing and medical imaging. Many research works and multimedia standards for this purpose have been developed. Some processing ideas in the area are focused on second-step (additional) compression of videos coded by existing standards like MPEG 4.14. Materials and Methods: In this article, an evaluation of some techniques with different complexity orders for video compression problem is performed. All compared techniques are based on interpolation algorithms in spatial domain. In details, the acquired data is according to four different interpolators in terms of computational complexity including fixed weights quartered interpolation (FWQI) technique, Nearest Neighbor (NN), Bi-Linear (BL) and Cubic Cnvolution (CC) interpolators. They are used for the compression of some HD color videos in real-time applications, real frames of video synthetic aperture radar (video SAR or ViSAR) and a high resolution medical sample. Results: Comparative results are also described for three different metrics including two reference- based Quality Assessment (QA) measures and an edge preservation factor to achieve a general perception of various dimensions of the mentioned problem. Conclusion: Comparisons show that there is a decidable trade-off among video codecs in terms of more similarity to a reference, preserving high frequency edge information and having low computational complexity.

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An Improved Matrix Factorization Based Active Contours Combining Edge Preservation for Image Segmentation

IEEE Access ◽

10.1109/access.2020.3044881 ◽

2020 ◽

Vol 8 ◽

pp. 223472-223481

Author(s):

Jinyun Jiang ◽

Xiao Liang Jiang

Keyword(s):

Image Segmentation ◽

Matrix Factorization ◽

Active Contours ◽

Edge Preservation

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Nonlinear resampling for both moire suppression and edge preservation

10.1117/12.334586 ◽

1998 ◽

Author(s):

Dimitri Van De Ville ◽

Koen N. Denecker ◽

Wilfried R. Philips ◽

Ignace L. Lemahieu

Keyword(s):

Edge Preservation

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Architectural Design of Effective Edge Preserving Median Filter with Error Correction System

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1593.0982s1119 ◽

2019 ◽

Vol 8 (2S11) ◽

pp. 4057-4067

Keyword(s):

Architectural Design ◽

Median Filter ◽

Soft Error ◽

Data Driven ◽

Switching Loss ◽

Clock Gating ◽

Edge Preservation ◽

Memory State ◽

Edge Preserving ◽

Modular Redundancy

Designing of Median filter that can process 36 pixels at a time with edge preservation similar to a filter of size 9. Median sorting is done using Modified minimum exchange sorting method which attracts double the amount of inputs in order to reduce number of comparators used for median filtering. For the same reason i.e. double the amount of inputs switching loss is high in the circuit therefore data driven clock gating (DDCG) is applied for SRAM to form data driven FIFO. Considering space radiation that could excite memory state, Addition of DMR (Double Modular Redundancy) in FPIC would rectify the soft error that could possibly occur due to radiation in space. Therefore proposed method is capable of producing sharp image, controlling switching loss, minimizes area, and reduces soft errors.

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Denoising of Medical Ultrasound Images using Wavelet Transform with Bilateral Filter

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d8571.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 8113-8116

Keyword(s):

Wavelet Transform ◽

Bilateral Filter ◽

Intrinsic Noise ◽

Speckle Noise ◽

Computer Assisted ◽

Ultrasound Images ◽

Medical Ultrasound ◽

Edge Preservation ◽

Neighborhood Relationship ◽

Speckle Filtering

Medical image degradation contains a significant impact on image quality and therefore affects the human interpretation and also the accuracy of computer assisted diagnostics techniques, unfortunately ultrasound images are principally degraded by an intrinsic noise known as speckle noise. Therefore, de- speckle filtering may be pre-processing step in medical ultrasound images. During this paper we propose a new image de-noising technique is the combination of bilateral filter and wavelet transform. The main contribution of this paper is within the use of a new neighborhood relationship to develop a new multi-scale bilateral filter. Experimental outcomes validate the usefulness and also the correctness of the proposed filter in edge preservation and speckle noise reduction for medical ultrasound images.

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