Entropy-based straight kernel filter for echocardiography image denoising.
A new filter has been proposed with the aim of eliminating speckle noise from 2D echocardiography images. This speckle noise has to be eliminated to avoid the pseudo prediction of the underlying anatomical facts. The proposed filter uses entropy parameter to measure the disorganized occurrence of noise pixel in each row and column and to increase the image visibility. Straight kernels with 3 pixels each are chosen for the filtering process, and the filter is slided over the image to eliminate speckle. The peak signal-to-noise ratio (PSNR) is obtained in the range of 147 dB, and the root mean square error (RMSE) is very low of approximately 0.15. The proposed filter is implemented on 36 echocardiography images, and the filter has the competence to illuminate the actual anatomical facts without degrading the edges.
Electrical and Electronics Engineering, Paavai Engineering College, NH-7 Pachal, Namakkal, 637 018, Tamil Nadu, India, rajalaxmisakthivelpec@paavai.edu.in.
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Rajalaxmi
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Nirmala
D000465:Algorithms; D016477:Artifacts; D004452:Echocardiography / Q000379:methods*; D019277:Entropy; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation* / Q000379:methods*; D019047:Phantoms, Imaging; D059629:Signal-To-Noise Ratio