[0001] The invention relates to a method and apparatus for processing video pictures, especially
for false contour effect compensation.
More specifically the invention is closely related to a kind of video processing for
improving the picture quality of pictures which are displayed on matrix displays like
plasma display panels (PDP) or display devices with digital micro mirror arrays (DMD).
Background
[0002] Although plasma display panels are known for many years, plasma displays are encountering
a growing interest from TV manufacturers. Indeed, this technology now makes it possible
to achieve flat color panels of large size and with limited depths without any viewing
angle constraints. The size of the displays may be much larger than the classical
CRT picture tubes would have ever been allowed.
[0003] Referring to the latest generation of European TV sets, a lot of work has been made
to improve its picture quality. Consequently, there is a strong demand, that a TV
set built in a new technology like the plasma display technology has to provide a
picture so good or better than the old standard TV technology. On one hand, the plasma
display technology gives the possibility of nearly unlimited screen size, also of
attractive thickness, but on the other hand, it generates new kinds of artefacts which
could damage the picture quality. Most of these artefacts are different from the known
artefacts occurring on classical CRT color picture tubes. Already due to this different
appearance of the artefacts makes them more visible to the viewer since the viewer
is used to see the well-known old TV artefacts.
[0004] The invention deals with a specific new artefact, which is called "dynamic false
contour effect" since it corresponds to disturbances of gray levels and colors in
the form of an apparition of colored edges in the picture when an observation point
on the matrix screen moves. This kind of artefact is enhanced when the image has a
smooth gradation like when the skin of a person is being displayed (e. g. displaying
of a face or an arm, etc.). In addition, the same problem occurs on static images
when observers are shaking their heads and that leads to the conclusion that such
a failure depends on the human visual perception and happens on the retina of the
eye.
[0005] Two approaches have been discussed to compensate for the false contour effect. As
the false contour effect is directly related to the sub-field organization of the
used plasma technology one approach is to make an optimization of the sub-field organization
of the plasma display panels. The sub-field organization will be explained in greater
detail below but for the moment it should be noted that it is a kind of decomposition
of the 8-bit gray level in 8 or more lighting sub-periods. An optimization of such
a picture encoding will have, indeed, a positive effect on the false contour effect.
Nevertheless, such a solution can only slightly reduce the false contour effect amplitude
but in any cases the effect will still occur and will be perceivable. Furthermore,
sub-field organization is not a simple matter of design choice. The more sub-fields
are allowed the more complicated will the plasma display panel be. So, optimization
of the sub-field organization is only possible in a narrow range and will not eliminate
this effect alone.
[0006] The second approach for the solution of above-mentioned problem is known under the
expression "pulse equalization technique". This technique is described e.g. in Euro
Display 1996, "An Equalising Pulse Technique for Improving the Gray Scale Capability
of Plasma Displays", K. Toda et al., pages 39 to 42. This technique is a more complex
one. It utilizes equalizing pulses which are added or separated from the TV signal
when disturbances of gray scales are foreseen. In addition for better compensation
quality, since the fact that the false contour effect is motion relevant, different
pulses for each possible speed are needed. That leads to the need of a big memory
storing a number of big look-up tables (LUT) for each speed and there is a need of
a motion estimator. A problem with these equalizing pulses is that they are used to
increase or decrease the amplitude of the video signal in areas where false contour
effect is likely to occur. Thus the correction value is added to the pixel value (RGB
data for Plasma Displays) before the corresponding sub-field code word is calculated.
Therefore, its not taken into account at which position within the frame period a
sub-field is inserted or omitted.
Invention
[0007] Therefore, it is an object of the present invention to disclose a method and an apparatus
which is based on the known solutions using equalizing pulses but which allows for
a more efficient false contour effect compensation. This object is achieved by the
measures claimed in claims 1 and 4.
[0008] The general idea of the invention is that the correction of pixel values is made
not on amplitude values only without consideration of the position of the sub-fields
which are inserted or omitted but on sub-field level. When the motion in the picture
is known for the pixels then the sub-fields for correction are positioned at the best
possible location in the frame period for false contour effect compensation.
[0009] A correction performed on subfield level allows directly to insert or to remove subfields
on the position (time position within the frame) where too much or not enough light
impulses are available. This way it's possible to compensate directly the failures
where they occur.
[0010] Advantageously, additional embodiments of the inventive method are disclosed in the
respective dependent claims.
[0011] One example for an apparatus according to the invention is disclosed in claim 3.
With a motion estimator the apparatus calculates motion vectors for blocks of pixels
of the video frames. It also comprises means for determining critical pixel value
transitions which are moving. For given motion vectors and critical pixel value transitions
look-up tables are provided in which the corrected digital code words are stored which
are to be used for a good false contour effect compensation.
Drawings
[0012] Exemplary embodiments of the invention are illustrated in the drawings and are explained
in more detail in the following description.
[0013] In the figures:
- Fig. 1
- shows a video picture in which the false contour effect is simulated;
- Fig. 2
- shows an illustration for explaining the sub-field organization of a PDP;
- Fig. 3
- shows an illustration for explaining the false contour effect;
- Fig. 4
- illustrates the appearance of a dark edge when a display of two frames is being made
in the manner shown in Fig. 3;
- Fig. 5
- shows two different sub-field organization schemes;
- Fig. 6
- shows the illustration of Fig. 3 but with sub-field organization according to Fig.
5;
- Fig. 7
- shows the effect on eye retina for the amplitude based correction of the false contour
effect;
- Fig. 8
- shows the effect on the eye retina for the amplitude based correction illustrated
with sub-field resolution;
- Fig. 9
- shows the video picture of Fig. 1 with a subdivision in blocks of pixels;
- Fig. 10
- shows the effect on the eye retina for the sub-field based correction method illustrated
with sub-field resolution;
- Fig. 11
- shows a block diagram of the apparatus according to the invention.
Exemplary embodiments
[0014] The artefact due to the false contour effect is shown in Fig. 1. On the arm of the
displayed woman are shown two dark lines, which e. g. are caused by this false contour
effect. Also in the face of the woman such dark lines occur on the right side.
[0015] A plasma display panel utilizes a matrix array of discharge cells which could only
be switched ON or OFF. Also unlike a CRT or LCD in which gray levels are expressed
by analog control of the light emission, in a PDP the gray level is controlled by
modulating the number of light pulses per frame. This time-modulation will be integrated
by the eye over a period corresponding to the eye time response. When an observation
point (eye focus area) on the PDP screen moves, the eye will follow this movement.
Consequently, it will no more integrate the light from the same cell over a frame
period (static integration) but it will integrate information coming from different
cells located on the movement trajectory. Thus it will mix all the light pulses during
this movement which leads to a faulty signal information. This effect will now be
explained in more detail below.
[0016] In the field of video processing is an 8-bit representation of e.g. a luminance level
very common. In this case each level will be represented by a combination of the following
8 bits:
2
0 = 1, 2
1 = 2, 2
2 = 4, 2
3 = 8, 2
4 = 16, 2
5 = 32, 2
6 = 64, 2
7 = 128
[0017] To realize such a coding scheme with the PDP technology, the frame period will be
divided in 8 lighting periods which are also very often referred to sub-fields, each
one corresponding to one of the 8 bits. The number of light pulses for the bit 2
1 = 2 is the double of that for the bit 2
0 = 1, etc.. With a combination of these 8 sub-periods, we are able to build said 256
different gray levels. Without motion, the eye of the observer will integrate over
about a frame period these sub-periods and will have the impression of the right gray
level. The above-mentioned sub-field organization is shown in Fig. 2.
[0018] The light emission pattern according to the sub-field organization introduces new
categories of image quality degradation corresponding to disturbances of gray levels
and colors. As already explained, these disturbances are defined as so-called dynamic
false contour effect since the fact that it corresponds to the appearance of colored
edges in the picture when an observation point on the PDP screen moves. The observer
has the impression of a strong contour appearing on a homogeneous area like displayed
skin. The degradation is enhanced when the image has a smooth gradation and also when
the light emission period exceeds several milliseconds. So, in dark scenes the effect
is not so disturbing as in scenes with average gray level (e.g. luminance values from
32 to 223).
[0019] In addition, the same problem occurs in static images when observers are shaking
the heads which leads to the conclusion that such a failure depends on the human visual
perception.
[0020] To better understand the basic mechanism of visual perception of moving images, a
simple case will be considered. Let us assume a transition between the luminance levels
128 and 127 moving at a speed of 5 pixel per video frame and the eye is following
this movement. Fig. 3 shows a darker shaded area corresponding to the luminance level
128 and a lighter shaded area corresponding to the luminance area level 127. The sub-field
organization, shown in Fig. 2 is used for building the luminance levels 128 and 127
as it is depicted on the right side of Fig. 3. The three parallel lines in Fig. 3
indicate the direction in which the eye is following the movement. The two outer lines
show the area borders where a faulty signal will be perceived. Between them the eye
will perceive a lack of luminance which leads to the appearance of a dark edge in
the corresponding area which is illustrated in Fig. 4. The effect that a lack of luminance
will be perceived in the shown area is due to the fact that the eye will no more integrate
all lighting periods of one pixel when the point from which the eye receives light
is in movement. Only part of the light pulses will probably be integrated when the
point moves. Therefore, there is a lack of corresponding luminance and the dark edge
will occur. On the left side of Fig. 4, there is shown a curve which illustrates the
behavior of the eye cells during observing the moving picture depicted in Fig. 3.
The eye cells having a good distance from the horizontal transition will integrate
enough light from the corresponding pixels. Only the eye cells which are near the
transition will not be able to integrate a lot of light from the same pixels.
[0021] To improve this behavior at first, a new sub-field organization is presented which
has more sub-fields and above all has more sub-fields with the same weight. This will
already reduce the contouring effect and improve the situation. Furthermore, it allows
for the inventive correction method which will be explained afterwards. In Fig. 5
two examples of new coding schemes are shown. The choice of the optimal one has to
be made depending on the plasma technology. In the first example there are ten sub-fields
used wherein there are four sub-fields having lighting periods with a relative duration
of 48/256. In the second example there are twelve sub-fields and there are seven sub-fields
having the relative duration of 32/256. Please note that the frame period has a relative
duration of 256/256.
[0022] In Fig. 6 the result of the new sub-field organization according to the second example
of Fig. 5 is shown in case of the 128/127 horizontal transition moving at a speed
of five pixels per frame. Now, the chance that the corresponding eye cells will integrate
more similar amounts of lighting periods is increased. This is illustrated by the
eye-stimuli integration curve at the bottom of Fig. 6 when compared to the eye-stimuli
integration curve at the bottom of Fig. 3.
[0023] For false contour reduction some solutions exist in which correction signals are
added to the video signal in order to compensate the lack of luminance (dark edges)
or the increase of luminance (luminous edges) . All the solutions known reduce or
increase the amplitude of the video signal in areas where false contour occurs.
[0024] The following example explains the used principle: It is assumed that an 3 x 8 bit
coded RGB picture is converted to 12 bit sub-field codes. This conversion is realized
for example by a LUT (Look Up Table) in which the 12 bit sub-field codes are stored
for the different 8 bit RGB data words. In this way the the video signal (3 times
for RGB) is converted into the sub-field code of 12 bit for each color channel.
[0025] The known false contour correction methods (with equalizing pulses) correct directly
the pixel values of the video signal, i.e. correction is done before the sub-field
conversion.
[0026] An illustration of this method is shown in Fig. 7. From Fig. 7a) it follows that
in the middle of the transition the amplitude on the eye retina has a lack of 32 relative
amplitude units. This is compensated by simply adding this value to the pixels of
the transition, see Fig. 7b). Since the brightness impression on the eye is given
by the integration of the light amplitude over a certain time period, such a correction
cannot be perfect when the eye moves.
[0027] The effect on sub-field level after generation of the sub-field code words is shown
in Fig. 8. For three pixels of the transition an additional sub-field with weight
32 corresponding to the correction value +32 is activated (see the dark black bars
shown in Fig. 8). Note, that only three pixels of the transition have the additional
sub-field of weight 32. This is because the transition would otherwise be distorted.
[0028] The eye stimuli integration curve shown at the bottom of Fig. 8 indicates that the
false contour effect is reduced compared to Fig. 6 but still present.
[0029] The disadvantage of the amplitude correction can also be seen on the table below.
Taking the previous example, a correction value of 32 can have an influence on different
timing positions, e.g. SF 9 or SF10.
[0030] The effect of the two corrections shown in the table implemented (add of the sub-field
No. 9 or 10 with both a value of 32) are totally different for the eye and consequently
for the impression of picture brightness but they both have the same amplitude of
159.
Sub-Field |
SF0 |
SF1 |
SF2 |
SF3 |
SF4 |
SF5 |
Ampl. |
Corr. 1 |
1 |
2 |
4 |
8 |
16 |
32 |
|
Corr. 2 |
1 |
2 |
4 |
8 |
16 |
32 |
|
Sub-Field |
SF6 |
SF7 |
SF8 |
SF9 |
SF10 |
SF11 |
Ampl. |
Corr. 1 |
32 |
32 |
32 |
0 |
0 |
0 |
159 |
Corr. 2 |
32 |
32 |
0 |
32 |
0 |
0 |
159 |
[0031] Already for the compensation technique used for in Fig. 8 its necessary to have knowledge
about the movement in the picture and where the critical transition is located. A
motion estimator is applied for providing motion vectors of blocks of pixels. At first,
the original picture is segmented in blocks, each of which will have a single motion
vector assigned. An example of such a decomposition is shown in Fig. 9. Other types
of motion-dependent pictures segmentations could be used, since the goal is only to
decompose the picture in basic elements having a well-defined motion vector. So all
motion estimators can be used for the invention, which are able to subdivide a picture
in blocks and to calculate for each block a corresponding motion vector. As motion
estimators are well-known from, for example 100 Hz up-conversion technique and also
from MPEG coding etc., they are well-known in the art and there is no need to describe
them in greater detail here. As an example where a motion estimator is described which
could be used in this invention, it is referred to WO-A-89/08891. Best to be used
are motion estimators which give precisely the direction of the movement and the amplitude
of this movement for each block. Since most of the plasma display panels are working
on RGB component data, benefit could be achieved when for each RGB component a separate
motion estimation is being carried out and these three components are combined so
that the efficiency of the motion estimation will be improved. In another block it
is evaluated whether two adjacent blocks have the same motion vector in order to find
the critical pixel value transitions which could cause false contours. Additionally
each block can be evaluated for critical transitions. A critical transition is found
when two areas of pixels with slightly different pixel values are found. Here, most
of the sub-fields of the two pixel value code words are identical except for one sub-field
with greater weight and a number of sub-fields with smaller weight (see e.g. Fig.
6).
[0032] A correction performed on sub-field level according to the invention allows directly
to insert or to remove subfields on the position (time position within the frame)
where too much or not enough light impulses are available. This way it's possible
to compensate directly the failures where they occur.
[0033] In case of a sub-field based compensation, subfields are inserted or removed depending
on the transition and the speed of movement. That means that it's directly possible
to insert or remove light pulses on positions (in temporal direction) where they are
missing or are too much. The main difference to the amplitude based compensation is
that with the amplitude based compensation technique it is not possible to determine
the time where the additional light pulses are best to be inserted or removed.
[0034] In Fig. 10, the subfield-based compensation technique is depicted with an example.
The additional subfields are shown with small black boxes. For the first pixel having
a pixel value of 127 the sub-field with weight 16 is omitted, also for compensation
reason. The correction depicted in Fig. 10 is an example for a good false contour
effect compensation for this transition and movement. The additional subfields are
shown with small black boxes, generate light pulses exactly in the time period where
they are needed. Within the area of the parallel lines shown, the eye will perceive
light emission pulses of total weight ≈128 when looking along the shown direction.
But it is to be noted that the integration of the eye retina is also a function of
time distance between the sub-fields. So an easy way to find the best results for
compensation fo a given transition with a given motion vector is to make experiments.
The video processing block used to compensate the false contour effect is shown in
Fig. 11. Reference number 10 denotes the whole block. RGB data is input to this block.
After initilisation one frame N will be stored in frame memory 11 and data of frame
N+1 will be delievered to a motion estimation and transition detection unit 12. Within
this unit the picture is subdivided in blocks and motion vectors are calculated for
the blocks. Preferably the subdivision in blocks is made so that all pixels in the
blocks have identical pixel values. When the motion vectors are found, critical transitions
are searched. This can be done by looking for adjacent blocks with identical motion
vectors and pixel values to which sub-field codes correspond which have a difference
mainly in sub-fields of greater weight, see above given explanation. Also the found
transition will be classified with regard to the pixel value differences of the transition.
[0035] The information regarding the motion vector and the transition classification is
fed to look up table memory 13. In look up table memory 13 a number of look up tables
14 are stored. The information regarding motion vector and transition classification
serves as an address for the right table. From the information found during transition
detection a control signal is generated which controls which entry in the selected
look up table is to be output. For the pixels of the transition which are to be corrected
new sub-field codes are stored in the look up table and these codes are read out under
control of this signal. Another control signal is generated for the control of a demultiplexer
15 at the output of the look up table. This signal is used to switch between the output
of the look up table 14 and the output of sub-field code generation unit 16 in which
the RGB pixel values of a frame are converted to sub-field codes. Another look up
table can be used for this purpose. As a result, at the output of look up table unit
13 the sub-field codes of the frame are supplied to the display unit inclusive the
corrected sub-field codes for the critical moving transitions.
[0036] The invention is not restricted to the disclosed embodiments. Various modifications
are possible and are considered to fall within the scope of the claims. E.g. a different
sub-field organization could be used. The values in implementations covered by the
patent may differ from those here shown, in particular the number and weight of the
used sub-fields.
[0037] An alternative embodiment is one without motion estimator. Here, the pixel values
of two succeeding frames are compared pixel by pixel and each time, a critical difference
is found a corresponding corrected sub-field code is selected in a look up table.
With this simple solution the correction results will be less good as in the example
explained above, but for a low cost implementation the solution may be sufficient.
[0038] All kinds of displays which are controlled by using different numbers of pulses for
gray-level control can be used in connection with this invention.
1. Method for processing video pictures, especially for false contour effect compensation,
the video picture consisting of pixels, comprising the steps of ;
- determining the pixels of a picture for which a correction is needed;
- determining a digital code word for each pixel of the picture, the digital code
word determining the length of the time period during which the corresponding pixel
of a display is activated, wherein to each bit of a digital code word a certain duration
is assigned, hereinafter called sub-field (SF), the sum of the sub-fields (SF) according
to a given code word determining the length of the time period during which the corresponding
pixel is activated,
- using one or more appropriate sub-field (C1, C2, C3) which is to be inserted in
or omitted from the original digital code word under consideration of the position
of the sub-field (C1, C2, C3) in the frame period, for generating a corrected digital
code word;
- using the corrected digital code word for the determined pixel instead of the original
code word for display control.
2. Method according to claim 1, wherein for the step of determining the pixels of a picture
for which a correction is needed motion vectors are calculated for blocks of pixels
(B1, B2) and if it is found that two adjacent blocks (B1, B2) with pixel values with
predefined different pixel values move with the same motion vector, at least the pixels
near the transition of the blocks are selected for correction purpose.
3. Method according to claim 1 or 2, wherein the following sub-field organization is
used;
the frame period is sub-divided in 12 sub-fields, when the frame period has a relative
duration of 256 time units, then the sub-fields have the following durations:
Sub-field number |
Duration/relative time units |
1 |
1 |
2 |
2 |
3 |
4 |
4 |
8 |
5 |
16 |
6 |
32 |
7 |
32 |
8 |
32 |
9 |
32 |
10 |
32 |
11 |
32 |
12 |
32 |
4. Apparatus for processing video pictures, especially for false contour effect compensation,
the video pictures consisting of pixels, the pixels being digitally coded, the digital
code word determining the length of the time period during which the corresponding
pixel of a display is activated, wherein to each bit of a digital code word a certain
duration corresponds, hereinafter called sub-field, the sum of the sub-fields (SF)
according to a given code word determines the length of the time period during which
the corresponding pixel is activated, characterized in that the apparatus comprises a motion estimator (12) for calculating motion vectors for
blocks of pixels (B1, B2) of a video frame, the apparatus further comprising a number
of look up tables (14) for different motion vectors and different pixel value transitions,
the lookup tables (14) containing for at least the pixels of the transition the digital
code words which are suited to increase picture quality.
5. Apparatus according to claim 4, the apparatus comprising a matrix display, especially
plasma or DMD display.