Lossless data-compression programs search through documents for redundant or repetitive data and then encode it. For example, a text document may contain 200 empty spaces, 100 instances of the ...

Example of a Quantization matrix: After calculating the DCT equivalent of an image, the matrix is divided by the quantization matrix to the nearest integer (lossy) and thereby making the higher ...

The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small training data, face ...

Cameras are installed, for example, in reverse lamps. They help with parking or detect obstacles. To minimize the size of the image data, video compression techniques are used. Thanks to the ...

In this project we explore how to optimize an image compression algorithm based on finding the singular value decomposition of a matrix. For an objective measurement, we introduce an image structural ...

Better than JPEG? Researcher discovers that Stable Diffusion can compress images Lossy compression bypasses text-to-image portions of Stable Diffusion with interesting results.

There are two types of compression algorithms, namely, loss-less and lossy-image compression. This article proposes a technique to compress the captured image to reduce its size while maintaining its ...