**6.1 Binocular disparity**

The concept of binocular disparity is defined as the fact that the brain extracts depth information from the left and the right eye views, receiving a slightly horizontally shifted perspective of the same scene. As a result, the observer perceives the objects in image positioned in three-dimensional space, creating an illusion of depth perception, positioning

Marziliano et al. worked on blurriness metric. Other metrics have been developed to achieve results while working with other kind of artifacts. Marziliano et al. worked on blurriness metric. As object boundaries are represented by sharp edges, the spreading of significant edges in the image gives a nice approach of blurring. Blurriness and ringing metrics have

Other metrics carry out the measure by working with DCT coefficients directly. Coudoux et al. detected the vertical block edges and combined them with several masking models

Ringing is a shimmering effect around high contrast edges. Ringing is not necessarily correlated with blocking as the amount of ringing depends in the amount and strength of edges in the image. A visible ringing measure (VRM) based on the average local variance

Marziliano et al. present a ringing metric based on their blur metric describe on previous section, which utilizes the carachteristics from JPEG2000 video encoding to obtain suitable results, but the metric does not extend to other compression standard, but it means a good

There are other studies in metrics based on noise, or other artifacts related to determined

Finally, it is important to mention the systems based on the combination of various individual metrics, weighted to properties of the image and their spatial and temporal

One of the most important achievements related to digital video developed in last years has been the next generation 3D stereoscopic contents. Their development is based on the search for illusion of depth perception. After some vain attempts due to a first of generation of 3D developed by anaglyph movies, finally acceptable results have been achieved as seen in the

3D video offers a new experience to the user, but the acceptance of this experience must be evaluated, in order to draw conclusions about the generation of video contents. That is the reason why quality assessment in 3D systems is more related to the concept of Quality of Experience (QoE) of the user, because it is not just an enhancement of the quality, but a

The concept of binocular disparity is defined as the fact that the brain extracts depth information from the left and the right eye views, receiving a slightly horizontally shifted perspective of the same scene. As a result, the observer perceives the objects in image positioned in three-dimensional space, creating an illusion of depth perception, positioning

been developed to evaluate JPEG2000 coding as well.

has been developed in [5]. It is relation to the Gibbs effect.

video compression standards such as MPEG-2 or JPEG-2000.

**6. Quality in emerging technologies: 3D** 

fundamental change in the character of the image.

applied in the DCT domain.

**Ringing** 

approximation. **Other metrics** 

complexity.

success among users.

**6.1 Binocular disparity** 

them in front of or behind the viewing screen. Binocular disparity refers to the difference captured by two cameras in computer stereovision. The disparity of an object in a scene depends both on camera baseline and on the distance between the object and the camera. There are different techniques to realize this, such as color or polarization filters, whose intention is to separate the left and right eye views, and orient them to each eye, to produce that illusion.

Fig. 14. Description of binocular disparity

The complexity of developing perfect binocular disparity is the cause of introducing impairments and defects on image. We pay our attention to three main factors, namely: scene content, camera baseline and screen size
