Edges in an image arise from discontinuities in scene variables, namely reflectance (R), illumination (I), depth (D) and surface orientation (O). Early visual coding in primate is selective for edges and edge detection forms an early stage for many computer vision algorithms. However, image interpretation depends not only on detection, but discrimination of the scene variables that gave rise to...

The emerging High Efficiency Video Coding (HEVC) standard introduces a number of innovative and powerful coding tools to acquire better compression efficiency compared to its predecessor H.264. The encoding time complexities have also increased multiple times that is not suitable for realtime video coding applications. To address this limitation, this paper employs a novel coding strategy to re...

Stereo-vision is generally considered to provide information about depth in a visual scene derived from disparities in the positions of an image on the two eyes; a new study has found evidence that retinal-image coding relative to the head is also important.

Edges in an image arise from discontinuities in scene variables, namely reflectance (R), illumination (I), depth (D) and surface orientation (O). Early visual coding in primate is selective for edges and edge detection forms an early stage for many computer vision algorithms. However, image interpretation depends not only on detection, but discrimination of the scene variables that gave rise to...

In stroboscopic conditions--such as motion pictures--rotating objects may appear to rotate in the reverse direction due to under-sampling (aliasing). A seemingly similar phenomenon occurs in constant sunlight, which has been taken as evidence that the visual system processes discrete "snapshots" of the outside world. But if snapshots are indeed taken of the visual field, then when a rotating dr...

We are proposing a simple watermarking method based on visual cryptography. The method is based on selection of specific pixels from the original image instead of random selection of pixels as per Hwang [1] paper. Verification information is generated which will be used to verify the ownership of the image without the need to embed the watermark pattern into the original digital data. Experimen...

Sparse coding, a method of explaining sensory data with as few dictionary bases as possible, has attracted much attention in computer vision. For visual object category recognition, `1 regularized sparse coding is combined with the spatial pyramid representation to obtain state-of-the-art performance. However, because of its iterative optimization, applying sparse coding onto every local featur...

The eficient digital representation of image and video signals has been subject of considerable research over the past 20 years. With the growing availability of digital transmission links, progress in signal processing, V U 1 technology and image compression research, visual communications has become more feasible than ever. Digital video coding technology has developed into a mature jield and...

Efficient digital representation of image and video signals has been the subject of considerable research over the past twenty years. With the growing availability of digital transmission links, progress in signal processing, VLSI technology and image compression research, visual communications has become more feasible than ever. Digital video coding technology has developed into a mature field...

Wireless transmission of compressed visual information presents new challenges in image coding and reconstruction techniques. Unlike the traditional error-free media for which current coding standards have been designed, wireless channels do not offer guaranteed transmission, and data loss over such channels can result in catastrophic errors in the decoded visual information. Visual data, howev...