The basic developing a digital image watermarking (DIW) objective approach is to satisfy both robustness and imperceptibility requirement. Digital watermarking (DW) appears as a capable means of protection multimedia contents…
A Novel DWT based Image Securing Method using Steganography
Steganography is a data hiding technique that is widely used in various information securing applications. Steganography transmits data by hiding the existence of the message so that a viewer cannot…
Edge-preserving Image Decomposition based on Saliency Map
A novel edge-preserving image decomposition based on saliency map is proposed to avoid halo phenomena in traditional image decompositions. Our method uses feature of saliency map that emphasizes salient edges…
An Improved Method For The Enhancement of Under Ocean Image
Image Enhancement is a process of improving the quality of an image by improving the contrast of the images. Images acquired underwater usually suffers from non-uniform illumination, low-contrast, motion blur…
A New Adaptive Weighted Mean Filter for Removing Salt-and-Pepper Noise
In this letter, we propose a new adaptive weighted mean filter (AWMF) for detecting and removing high level of salt-and-pepper noise. For each pixel, we firstly determine the adaptive window…
An Efficient content-based image retrieval with ant colony optimization feature selection schema based on wavelet and color features
A novel content-based image retrieval (CBIR) schema with wavelet and color features followed by ant colony optimization (ACO) feature selection has been proposed in this paper. A new feature extraction…
Global Correlation Descriptor: a novel image representation for image retrieval
The image descriptors based on multi-features fusion have better performance than that based on simple feature in content-based image retrieval (CBIR). However, these methods still have some limitations: 1) the…
Enhancement of image retrieval by using colour, texture and shape features
Content based image retrieval technique is done by three primitive methods namely through color, shape and texture. This paper provides specified path to use these primitive features to retrieve the…
Analysis of distance metrics in content-based image retrieval using statistical quantized histogram texture features in the DCT domain
The effective content-based image retrieval (CBIR) needs efficient extraction of low level features like color, texture and shapes for indexing and fast query image matching with indexed images for the…
Content Based Image Retrieval Using Color Strings Comparison
Content Based Image Retrieval (CBIR) is a technique that enables a user to extract an image based on a query, from a database containing a large amount of images. A…