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The obstacles for images that are taken under the water are haze, low contrast, loss of color, etc. The quality of images that are taken under the water is not clear due to the impurities present in the water and some properties of water. This paper proposes methods to improve the quality of the underwater images. The proposed work in the paper consist of two methods they are Interpolation based Enhancement...
Image enhancement techniques improve the visibility of the images. Enhancement results, the output image is more suitable for a specific application rather than input image. It is used in many image processing applications like medical imaging, SONAR and RADAR as a preprocessing step. Hence this paper presents the hardware co-simulation and implementation of image enhancement algorithms into FPGA...
The boundary ringing artifacts always appears near image boundary after deconvolution. We presented a new deconvolution image boundary ringing metric to evaluate the quality of images. First, we remove the deconvolution image boundary ringing artifact using the PDE-based method, and then we compare it with the degraded image to evaluate the boundary ringing artifact. The experimental results validate...
The edge ringing artifacts always appear near the image edge after deconvolution and degrade the image quality. In this paper, we presented a new deconvolution image edge ringing metric to evaluate the quality of image. The proposed approach is able to remove the deconvolution image edge ringing artifact by using a PDE (Partial Differential Equation)-based method and it will be compared with the degraded...
This article uses the advanced wavelet theory to perform multi-criteria transformation on the medical CT image wavelet in order to obtain directive components. The improved wavelet threshold value law is combined with the wavelet homomorphism filter corresponding to the obtained directive components to remove noise and enhance image effect, finally resulting in the multi-scale (level) enhanced images...
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