At present, and increasingly so in the future, much of the captured visual content will not be
seen by humans. Instead, it will be used for automated machine vision analytics and may …

Many new DCT-like transforms have been proposed since the first edition of this book. For
example, the integer DCT that yields integer transform coefficients, the directional DCT to …

The perceptual just noticeable distortion (JND), which plays an important role in perceptual
image watermarking and can refers to the optimal tradeoff between imperceptibility and …

Image coding is one of the most fundamental techniques and is widely used in image/video
processing and multimedia communications. Current image coding methods are mainly …

With the AI of Things (AIoT) development, a huge amount of visual data, eg, images and
videos, are produced in our daily work and life. These visual data are not only used for …

This work presents a new method of data hiding in digital images, in discrete cosine
transform domain. The proposed method uses the least significant bits of the medium …

This article considers variants of orthogonal block transforms execution. Block sampling and
recording variants are described when performing a transform. Two variants of the block …

Image transforms are necessary for image and video compression. Analytic transforms are
powerful in compacting natural signals for wider exploitation. Various methods have been …

Edge detection plays a vital role in computer vision and image processing. Edge of the
image is one of the most significant features which are mainly used for image analyzing …

Object detection relies on appropriate features extracted from images or video. Typically,
features are extracted in the pixel domain, after full decoding. In this paper, we introduce a …