An ultrasound image enhancement method using local gradient based fuzzy similarity

A Comprehensive Reference Source for the Researchers Involved in Image Enhancement Field – A Review

“…Year Operating Domain Model M. Yasmin [6] 2012 Transform domain, spatial domain Noise reduction, resolution, segmentation, noise suppression J. K. Hasikin [7] 2012 Spatial domain Fuzzy-based contrast modification R. Arun [8] 2011 Spatial domain Alpha rooting based hybrid Procedure S. S. Agaian [9] 2007 Transform domain, spatial domain Transform coefficient histogram-based image enhancement algorithms M. A. Wadud [10] 2007 Spatial domain Conventional histogram equalization L. Xiaoying [11] 2011 Transform domain, spatial domain Image fusion method evaluation on sharpness J. Mohan [12] 2014 Filtering, transform domain, statistical approach Noise reduction L. S. Chow [13] 2016 Spatial domain Subjective assessments, subjective assessments K. Binaee [14] 2014 Filtering Speckle reduction S. S. Suganthi [15] 2014 Filtering Edge enhancement for segmentation S. Anand [16] 2013 Transform domain Directionlet transform (DT)…”

“…Brain images J. K. Hasikin [7] 2012 Contrast enhancement, grayscale enhancement Grayscale images R. Arun [8] 2011 Alpha rooting technique A variety images S. S. Agaian [9] 2007 The logarithmic transform domain histogram and histogram equalization A human visual system-based M. A. Wadud [10] 2007 Contrast enhancement Brain image, synthetic image, natural image L. Xiaoying [11] 2011 Improvement the perception of information The cameraman image, gray an color images J. Mohan [12] 2014 Wavelet based denoising, curvelet, counterlet Magnetic resonance images L. S. Chow [13] 2016 Medical image quality assessments MR, CT, ultrasound images K. Binaee [14] 2014 Fuzzy rule based filter Ultrasound images S. S. Suganthi [15] 2014 non-linear isotropic diffusion filter Grayscale breast thermal image S. Anand [16] 2013 Sharpening Technique (ST) Mammographic X-ray images M. B. Hossain [17] 2014 A new contrast enhancing method Ultrasound images J. J. J. Babu [18] 2016 An adaptive fuzzy logic approach Ultrasound images B. Deka [19] 2013 De-speckling algorithm Photographic images V. Janani [20] 2014 A variety enhancement techniques Infrared images M. S. Imtiaz [21] 2013 Color reproduction Endoscopic images Saumik Bhattacharya [22] 2014…”

Adaptive speckle reduction in ultrasound images using fuzzy logic on Coefficient of Variation

“…However, the fuzzy based median or average filters tend to smoothen the fine details causing poor edge preservation. Binaee et al [18] developed a fuzzy filter based on local gradient of the image and used fuzzy inference to categorise the image regions and structural information. Weights were found based on a similarity window by non-local means filtering process.…”

Fractional order integration and fuzzy logic based filter for denoising of echocardiographic image

“…Fuzzy average filter [18] perform significant denoising by replacing each pixel by average of its neighboring pixels but this method results in poor edge preservation. Another fuzzy filter is proposed in [19], it works by dividing an input image into different regions and then search similar image patches to denoise them simultaneously.…”