Removing and reducing noise and improving the quality of image is very active research area in image processing. Various applications require various kinds of images as genesis of information for various works. Whenever an image is converted degradation occurs at the output. The output image processed through image enhancement for the removal of degradation. The main aim of Image enhancement is...

In the process of image acquisition and transmission, noise is always contained inevitably. So it is necessary to image denoising processing to improve the quality of image. Generally speaking, each algorithm has some filtering and threshold parameters. Taking variety kinds of images into account, it is a key problem of how to set these parameters in denoising algorithms under different conditi...

The manuscript presents the replacement algorithm of digital image watermarking. The tool used for processing is discrete wavelet transform (DWT). The method includes the process of dividing the digital image into multiple frequency bands which are replaced by the content of secrete image. This phenomenon is used to provide copyright protection, imperceptibility to the user. Peak signal to nois...

A new multi-resolution image analysis and image processing technique which split the band in the Fresnel transform signal domain has been proposed. There are two methods to solve the Fresnel integral equation. Applying two different Fresnel transform methods in invert direction to an image sequentially with an adequate distance parameter,a down-scaled image can be produced representing a multir...

This paper presents a rotation scale invariant digital color image watermarking technique using Scale Invariant Feature Transform (SIFT) which is invariant to geometric transformation. The image descriptors extracted using SIFT transform of original image and watermarked image are used for estimating the scaling factor and angle of rotation of attacked image. Using estimated factors attacked im...

Wavelet transform based coding has shown to be a promising method in low bit rate data compression. By using its multiresolution characteristics and the dependencies among subbands, the important visual features can be reconstructed at high compression ratio. In this paper, we propose a new wavelet transform coding scheme which exploits the linear prediction model for the existing dependencies ...

A novel wavelet transform coding method based on the classiication of diierent wavelet amplitude regions is proposed. By using a low-complexity but eecient prediction model, we can distinguish diierent wavelet amplitude regions at upper subbands. Therefore, adaptive quantizers can be applied to diierent regions to achieve better reconstruction quality. The the main advantage of this algorithm i...

There has been a lot of research work concentrated towards noise reduction in image processing. However, with the wide spread of image usage, the development of new technique for noise reduction is become very important. This paper introduces the novel way to denoise the image, to reduce the noise which is introduced by a particular algorithm based on the random spray sampling technique used fo...

Bicubic interpolation is more sophisticated than the other two techniques and produces smoother edges. Wavelets are also playing a significant role in many image processing applications. The 2-D wavelet decomposition of an image is performed by applying the 1-D discrete wavelet transform (DWT) along the rows of the image first, and then the results are decomposed along the columns. This operati...