Median filters excel at removing impulse noise from digital signals, with high accuracy and quick running-times. However, they have limitations if the resulting signals are to be used for feature recognition purposes, as they often remove crucial details and add unwanted noise. In this paper, an algorithm for digital filtering using the logical transform is proposed. This method is able to achi...

This paper aims at designing and developing a suitable tool for identifying defects in glass bottles through visual inspection based on segmentation algorithm. Defects are identified in three stages namely Image acquisition, Pre-processing and filtering and Segmentation. In the Image acquisition stage, samples of real time images are taken and are converted into monochrome images. In the Pre-pr...

Multivariate median filters have been proposed as generalisations of the well-established median filter for grey-value images to multi-channel images. As multivariate median, most of the recent approaches use the L median, i.e. the minimiser of an objective function that is the sum of distances to all input points. Many properties of univariate median filters generalise to such a filter. Howeve...

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

Digital images are playing a key role but while transmitting the image more disturbances are produced by the noise which corrupts the image. Denoising leads to good quality image and restoration of original information. To achieve denoising, various noise models are referred based on additive and multiplicative type also. Some are Gaussian noise, salt & pepper noise, speckle noise and Quantizat...

In the recent years, use of Digital Image Communication has increased exponentially in the day to day activities. Joint Photographic Experts Group (JPEG) is the most widely used still image compression standard for bandwidth conservation. In this paper, it is proposed and critically studied a new set of JPEG Compression algorithms by combining Mean filtering, Median filtering, and Outlier detec...

Digital watermarking has been widely used in copyright protection for digital images, but most of the watermarking algorithm can't resist print-and-scan process. Print-and-scan attack is a challenging problem for most of digital watermarks. A watermarking algorithm against print-and-scan attack based on PSO (Particle Swarm Optimization) is proposed in this paper. The watermark information is em...

Digital image processing plays important role in our daily life. Digital Image Processing involves the modification of digital data for improving the image qualities with the aid of computer. The processing helps in maximize the clarity, sharpness of image and details of features of interest. The digital image is given as input into a computer and computer is programmed to change data with the ...

Digital watermarking has been widely used in copyright protection for digital images, but most of the watermarking algorithm can't resist print-and-scan process. Print-and-scan attack is a challenging problem for most of digital watermarks. A watermarking algorithm against print-and-scan attack based on PSO (Particle Swarm Optimization) is proposed in this paper. The watermark information is em...