scholarly journals Blind Restoration of Motion Blurred Barcode Images using Ridgelet Transform and Radial Basis Function Neural Network

2014 ◽  
Vol 13 (3) ◽  
Author(s):  
Shamik Tiwari
Keyword(s):  
Neural Network ◽  
Radial Basis Function ◽  
Basis Function ◽  
Ridgelet Transform ◽  
Radial Basis ◽  
Blind Restoration

A Blind Restoration Approach for Defocused Barcode Images

2017 ◽  
Vol 8 (3) ◽  
pp. 41-58
Author(s):  
Shamik Tiwari
Keyword(s):  
Neural Network ◽  
Image Restoration ◽  
Radial Basis Function ◽  
Basis Function ◽  
Accurate Estimation ◽  
Robust Method ◽  
Ridgelet Transform ◽  
Accurate Representation ◽  
Blurred Image ◽  
Blind Restoration

Use of a mobile camera for barcode decoding provides high portability and availability but it requires that the recorded barcode image must be accurate representation of the barcode that is available on the product. Barcode scanning is challenging because images may be degraded due to out-of-focus blur at the time of image acquisition. Therefore, image restoration is essential in making image sharp and useful. In case of blind restoration of such barcode images accurate estimation of out-of-focus blur parameter is highly desirable. In this article, a robust method has been proposed for estimating the radius of out-of-focus blur. Finite discrete ridgelet transform has been used to find the features of the blurred image and a radial basis function neural network is utilized to estimate the radius of out-of-focus blur. The experimental results reveal that proposed method more robust than the existing methods.

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