International Journal of Image Processing | |
Two-dimensional Block of Spatial ConvolutionAlgorithm and Simulation | |
Mussa Mohamed Ahmed1  | |
[1] $$ | |
关键词: Spatial Convolution; Algorithm; Simulation; | |
DOI : | |
来源: Computer Science Journals | |
【 摘 要 】
This paper proposes an algorithm based on sub image-segmentation strategy. The proposed scheme divides a grayscale image into overlapped 6×6 blocks each of which is segmented into four small 3x3 non-overlapped sub-images. A new spatial approach for efficiently computing 2-dimensional linear convolution or cross-correlation between suitable flipped and fixed filter coefficients (sub image for cross-correlation) and corresponding input sub image is presented. Computation of convolution is iterated vertically and horizontally for each of the four input sub-images. The convolution outputs of these four sub-images are processed to be converted from 6×6 arrays to 4×4 arrays so that the core of the original image is reproduced. The present algorithm proposes a simplified processing technique based on a particular arrangement of the input samples, spatial filtering and small sub-images. This results in reducing the computational complexity as compared with other well known FFT-based techniques. This algorithm lends itself for partitioned small sub-images, local image spatial filtering and noise reduction. The effectiveness of the algorithm is demonstrated through some simulation examples.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912040511203ZK.pdf | 160KB | download |