Category: MATLAB

BRINT Binary Rotation Invariant and Noise Tolerant Texture Classification

BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification Abstract: In this paper, we propose a simple, efficient, yet robust multiresolution approach to texture classification-binary rotation invariant and noise tolerant (BRINT). The proposed approach is very fast to build, very compact while remaining robust to illumination variations, rotation changes, and noise. We develop a novel […]


A Unified Data Embedding and Scrambling Method

A Unified Data Embedding and Scrambling Method Abstract: Conventionally, data embedding techniques aim at maintaining high-output image quality so that the difference between the original and the embedded images is imperceptible to the naked eye. Recently, as a new trend, some researchers exploited reversible data embedding techniques to deliberately degrade image quality to a desirable […]