While the JPEG image standard was developed more than 25 years ago, it is still dominant in terms of image formation, manipulation and transmission over the internet and other media. As technology advances, new demands have arisen for the efficient transmission and storage of im…
Residual vector quantization (RVQ) is investigated in context of quantization cell shapes and is found to produce oblong cell shapes. The presence of these oblong cell shapes are in part responsible for the degradation in performance of RVQ compared to vector quantization (VQ). …
The vanishing moment of wavelets and associated multi-resolution framework yield an efficient representation of smooth functions with wavelet approximation. However as pointed out in many papers, the similar result cannot be expected for the piecewise smooth functions with large…
In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression techniques and presents a number of different schem…
Presents the fundamentals and properties of various image transforms used in image and video compression and discusses their applications in designing various image and video processing algorithms in the compressed domain.
Image and video processing in the compressed domain
As more images and videos are becoming available in compressed formats, researchers have begun designing algorithms for different image operations directly in their domains of representation, leading to faster computation and lower buffer requirements. Image and Video Processing…
Digital imaging is essential to many industries, such as remote sensing, entertainment, defense, and biotechnology, and many processing techniques have been developed over time. This Field Guide serves as a resource for commonly used image-processing concepts and tools; with thi…