Classification of liver masses plays an important role in early diagnosis of patients. This
paper proposes a method to reduce the liver computed tomography (CT) images …

Classification of liver masses is one of the hot topics in the literature. This paper proposes a
hybrid method of using Convolutional Neural Network (CNN) and Discrete Wavelet …

In this paper, a novel perceptual hashing scheme for color images is proposed with the
hybrid feature extraction mechanism. During the stage of pre-processing, image …

In this paper, a perceptual image hashing scheme based on color opponent component
(COC) and Quadtree structure is proposed. Firstly, image normalization and Gaussian low …

In this paper, a novel feature descriptor, local texton XOR patterns (LTxXORP) is proposed
for content-based image retrieval. The proposed method collects the texton XOR pattern …

Image hashing is a novel technology of multimedia processing, and finds many applications,
such as image forensics, image retrieval and image indexing. Conventional image hashing …

Perceptual image hashing methods utilize the visual phenomenon of the images and
produce a fixed-length hash function and this hash value can be utilized for digital signature …

PhotoDNA is a popular hash used to combat CSAM. So far, only limited information has
been provided about this hash in terms of its performance. In this paper, we provide an …

Image hashing is a novel technology of multimedia processing and is widely used in many
applications, such as image authentication, image retrieval, image indexing, copy detection …

A feature based on a single modality such as color or texture is not sufficient to investigate
the appearance variation across multiple images. In this paper, a novel feature referred to as …