Image steganography aims to hide secret images into a container image, where the secret is
hidden from human vision and can be restored when necessary. Previous image …

Although there are methods of artificial intelligence (AI) applied to virtual reality (VR)
solutions, there are few studies in the literature. Thus, to fill this gap, we performed a …

Unprocessed RAW data is a highly valuable image format for image editing and computer
vision. However, since the file size of RAW data is huge, most users can only get access to …

The entire Image Signal Processor (ISP) of a camera relies on several processes to
transform the data from the Color Filter Array (CFA) sensor, such as demosaicing, denoising …

Invertible image decolorization is a useful color compression technique to reduce the cost in
multimedia systems. Invertible decolorization aims to synthesize faithful grayscales from …

Publishing/sharing pretrained deep neural network (DNN) models is a common practice in
the community of computer vision. The increasing popularity of pretrained models has made …

Image rescaling is a commonly used bidirectional operation, which first downscales high-
resolution images to fit various display screens or to be storage-and bandwidth-friendly, and …

Reversible image conversion (RIC) aims to build a reversible transformation between
specific visual content (eg, short videos) and an embedding image, where the original …

Existing halftoning algorithms usually drop colors and fine details when dithering color
images with binary dot patterns, which makes it extremely difficult to recover the original …

We present LayerDiffusion, an approach enabling large-scale pretrained latent diffusion
models to generate transparent images. The method allows generation of single transparent …