We develop sensor transformations, collectively called spectral sharpening, that convert a given set of sensor sensitivity functions into a new set that will improve the performance of any color-constancy algorithm that is based on an independent adjustment of the sensor response channels. Independent adjustment of multiplicative coefficients corresponds to the application of a diagonal-matrix ...

It has now been 20 years since the seminal work by Finlayson et al. on the use of spectral sharpening of sensors to achieve diagonal color constancy. Spectral sharpening is still used today by numerous researchers for different goals unrelated to the original goal of diagonal color constancy e.g., multispectral processing, shadow removal, location of unique hues. This paper reviews the idea of ...

ABSTRACT: Image scaling is the process of resizing a digital image. It is one of the most important methods used in various applications such as sharpening of an image, image zooming, preserving edge structures in an image and so on. This paper proposes an efficient scaling algorithm for designing an image scaling processor. The proposed scaling algorithm consists of two combined prefilters and...

In this paper we propose a unified variational image editing model. It interprets image editing as a variational problem concerning the adaptive adjustments to the zeroand first-derivatives of the images which correspond to the color and gradient items. By varying the definition domain of each of the two items as well as applying diverse operators, the new model is capable of tackling a variety...

We introduce a family of rst-order multi-dimensional ordinary diierential equations (ODEs) with discontinuous right-hand sides and demonstrate their applicability in image processing. An equation belonging to this family is an inverse diiusion everywhere except at local extrema, where some stabilization is introduced. For this reason, we call these equations \stabilized inverse diiusion equatio...

The objective of this study is to propose multiresolution data fusion scheme using multiresolution analysis (MRA). Three techniques compared, respectively based on Haar wavelet basis (HWB), Daubechies wavelet basis (DWB), and IHS transform. Daubechies Wavelet Basis (DWB) is far more efficient than the HWB and IHS transform, thus establishing the advantages for data fusion of formally multiresol...

a watermarking scheme for grayscale image isproposed based on a family of the chaotic maps and discretecosine transform. jacobian elliptic mapis employed to encrypt ofwatermarked logo. piecewise nonlinear chaotic map is also usedto determine the location of dct coefficients for the watermarkembedding. the purpose of this algorithm is to improve theshortcoming of watermarking such as small key s...

A Fourier domain watermark localized near image feature points is presented in an attempt to make an invisible watermark that is robust to common image processing attacks. Finding robust feature points allows for localized watermarking to be detected after attacks. The feature points are found using the Harris corner detector. Points that respond greatest to the Harris corner detector will ofte...

In this paper we enhanced poor illuminated low contrast image and sharpen the foreground part using stochastic resonance (SR). Noise generally hinders communication system. But by using SR image, performance is improved by adding noise. At an optimum noise level SNR performance become appreciable. Literally this pixel dynamics concepts adopts particle mechanics following Benzi’sbistable model. ...

Abstract: The field of Digital Image Processing refers to processing digital images by means of digital computer. One of the main application areas in Digital Image processing methods is to improve the pictorial information for human interpretation. Most of the digital images contain noise. This can be removed by many enhancement techniques. Filtering is one of the enhancement techniques which ...