Human Vision Inspired Based Image Illumination Enhancement by Using Local Singular Value Decomposition and Discrete Wavelet Transform

Results from the proposed method (Newtonian operator) contrast enhancement preprocessing compared to (a) Sagittal slice of original T2 weighted image; (b), (c) the enhanced

We consider the grayscale image as a set of cuts obtained from successive binarization for each gray level in image, and for each segmentation we compute the R-transform then

In this study it is proposed to fuse palm print image with finger print image and extract feature in the frequency domain using Discrete Cosine Transform.. Palm print

The algorithm encryption and decryption of an image transform an image into cipher code using the random keys, which allow users to have confidentiality and security in

In this paper a new approach for block feature based image fusion is implemented using multi wavelet transform. and neural networks and a qualitative analysis has been done for

This paper proposes a method to embed data in Discrete Wavelet Transform coefficients using a mapping function based on Genetic Algorithm in 4x4 blocks on the cover image and,

The decision criterion as to which transform to use is based on two simple parameters: the average standard deviation (ASTD) of 8x8 subblocks of the (64x64) size tile to encode,

The emphasis of the paper is on modelling shadow and shading in order to get an estimate of the illumination at each surface visible in an image at the time the image was recorded.