WO2007075052A1

WO2007075052A1 - Display driver and image prosessing apparatus for interpolating color and control method thereof

Info

Publication number: WO2007075052A1
Application number: PCT/KR2006/005781
Authority: WO
Inventors: Hun-Joon Jung
Original assignee: Mtekvision Co., Ltd.
Priority date: 2005-12-27
Filing date: 2006-12-27
Publication date: 2007-07-05
Also published as: KR100723046B1

Abstract

The present invention is related to a display driver, an image processing apparatus, and a control method thereof for color interpolation. According to an embodiment of the present invention, a display driver, outputting an image to a display, the image being captured in an image sensor having a plurality of unit pixels includes a system interface, receiving n bit Bayer RGB data detected in the image sensor through a data bus, the Bayer RGB data comprising one of red (R), green (G) and blue (B) data that are captured by the unit pixel; a graphic memory, storing the received n bit Bayer RGB data; and a color interpolation unit, interpolating the n bit Bayer RGB data stored in the graphic memory to 3n bit actual color data. Accordingly, the present invention can increase the system efficiency through the color interpolation of the display driver.

Description

[DESCRIPTION]

[Invention Title]

DISPLAY DRIVER AND IMAGE PROCESSING APPARATUS FOR

INTERPOLATING COLOR AND CONTROL METHOD THEREOF

[Technical Field]

The present invention is related to a display driver, an image processing

apparatus, and a control method thereof for color interpolation, more specifically to a

display driver, an image processing apparatus, and a control method for color

interpolation that can improve system performance through an efficient interpolation of

actual color.

[Background Art]

Today' s high integration technology of a charged-coupled devices (CCD) and a

complementary metal-oxide semiconductor (CMOS) and remarkable development of

the image processing technology cause the quick extension of the digital camera market.

Mobile apparatuses, such as mobile phones and PDAs, having digital camera functions

are familiarized.

An image processing apparatus captures an image related to a photographic subject by using an image sensor such as the CCD and the CMOS.

The image sensor represents all colors of the nature by use of red (R), green

(G) and blue (B). As illustrated in FIG. 1, a typical image sensor uses a color filter array

(CFA) to reduce a manufacturing cost.

The image sensor includes a plurality of unit pixels that convert a light signal

related to the photographic subject to an electrical signal and output the converted signal.

In the case of using the aforementioned CFA, one unit pixel of the image sensor detects

a value of one among each of the R, G and B components.

R, G and B values, detected by each unit pixel, are converted to digital signals

by converting means such as a digital analog converter (DAC) before being outputted to

an image signal processor (ISP) or a camera signal processor (CCP).

Actual colors related to the photographic subject can be represented by using

the combination of the RGB components. However, since the data detected by each unit

pixel has information related to only one of the RGB components (this digital signal is

referred to as Bayer RGB data), the ISP or the CCP conventionally performs an actual

color interpolation such that one unit pixel can have the information related to all R, G

and B components by using the R, G and B data, detected by each unit pixel.

The data, which is color-interpolated in the ISP or CCP, passes through a

backend chip (not shown) and is transferred to a display driver.

FIG. 2 is a schematic illustrating the display driver in accordance with the prior art. As illustrated in FIG. 2, the display driver in accordance with the prior art receives

data interpolated with the actual color through a data bus 200 and stores the data in a

memory 202 to output it to a display unit (not shown).

Since the data interpolated with the actual color has all RGB data for each unit

pixel, the data has an amount of information 3 times as much as the Bayer RGB data. In

accordance with the prior art, the actual color interpolation is performed prior to the

display driver. Accordingly, the high clock speed is requested to transfer the actual

color interpolated data from the ISP to the backend chip and from the backend chip to

the display driver.

As such, the high clock speed makes it more difficult to design an internal chip.

Also, since the power consumption is increased 3 times as much during the signal

transferring process, there is a high possibility of performing a wrong operation due to

the electromagnetic interference (EMI).

Further, the memory in the display driver must have the size 3 times as large as

the data detected in the image sensor to store the actual color interpolated data, to

thereby increase the size of the display driver. Accordingly, it becomes difficult to make

the image processing apparatus such as a camera in a small size.

Still, the data bus consists of a lot of data lines. In the case of setting the 6 bit

resolution, the data bus, which consists of 18 lines, that is, 3 times as much as the bit

number 6, causes increasing the image processing apparatus in size. [Disclosure]

[Technical Problem]

The present invention, which is designed to solve the above problems, provides

a display driver, an image processing apparatus, and a control method for color

interpolation that can lower the clock speed of the image processing apparatus.

Also, the present invention provides a display driver, an image processing

apparatus, and a control method for color interpolation that can prevent a wrong

operation due to the electromagnetic interference (EMI) by reducing the power

consumption during the internal signal transferring process of the image processing

apparatus.

Also, the present invention provides a display driver, an image processing

apparatus, and a control method for color interpolation that can decrease the memory

size of the display driver.

Also, the present invention provides a display driver, an image processing

apparatus, and a control method for color interpolation that can make the image

processing apparatus in a small size by reducing the size of the display driver and

decreasing the number of data bus lines.

[Technical Solution] To achieve the above objects, according to an embodiment of the present

invention, a display driver, outputting an image to a display, the image being captured

in an image sensor having a plurality of unit pixels includes a system interface,

receiving n bit Bayer RGB data detected in the image sensor through a data bus, the

Bayer RGB data having one of red (R), green (G) and blue (B) data that are captured by

the unit pixel; a graphic memory, storing the received n bit Bayer RGB data; and a color

interpolation unit, interpolating the n bit Bayer RGB data stored in the graphic memory

to 3n bit actual color data.

The display driver of the present invention can further include a register, which

has address information on the graphic memory, and controls to read / write the data

between the system interface and the graphic memory.

Also, the display driver can further include a write latch, which writes the

Bayer RGB data received in the system interface, in the graphic memory.

Preferably, the data bus can have n lines

Also, the display can be one of a liquid crystal device (LCD), an organic

electroluminescence display (EL), a plasma display panel (PDP), a cathode-ray tube

(CRT) display and a field emission display (FED).

According to another embodiment of the present invention, a method of

controlling a display driver, outputting an image to a display, the image being captured

in an image sensor having a plurality of unit pixels includes receiving n bit Bayer RGB data detected in the image sensor through a data bus, the Bayer RGB data having one of

red (R), green (G) and blue (B) data that are captured by the unit pixel; storing the

received n bit Bayer RGB data; and interpolating the n bit Bayer RGB data stored in the

graphic memory to 3n bit actual color data.

According to another embodiment of the present invention, an image

processing apparatus includes an image sensor, having a plurality unit pixels, and

detecting n bit Bayer RGB data, the Bayer RGB data having one of red (R), green (G)

and blue (B) data that are captured by the unit pixel; a display driver, receiving and

storing the n bit Bayer RGB data detected in the image sensor through a data bus, and

interpolating the stored n bit Bayer RGB data to 3n bit actual color data; and a

controller, controlling the image sensor and the display driver.

[Description of Drawings]

FIG. 1 illustrates a color filter array in accordance with a prior art;

FIG. 2 is a schematic illustrating a display driver in accordance with a prior art;

FIG. 3 illustrates the operation of the nearest neighborhood replication;

FIG. 4 illustrates the operation of an edge sensing interpolation;

FIG. 5 and FIG. 6 illustrate the operation of determining G5 by a pixel B5;

FIG. 7 illustrates each pattern type in a pattern recognition interpolation;

FIG. 8 and FIG. 9 illustrate the operation of a pattern recognition interpolation. FIG. 10 illustrates images before and after interpolation;

FIG. 11 is a block diagram illustrating an image processing apparatus in

accordance with an embodiment of the present invention; and

FIG. 12 is a block diagram illustrating a display drive in accordance with an

embodiment of the present invention.

[Mode for Invention]

Hereinafter, an exemplary embodiment related to a display driver, an image

processing apparatus, and a control method for color interpolation in accordance with

the present invention will be described in detail with reference to the accompanying

drawings.

The present invention can increase the system processing efficiency by

improving the actual color interpolation method of Bayer RGB data detected in an

image sensor unlike a conventional art.

As described above, the actual color interpolation allows one unit pixel to have

all information related to RGB components by using the R, G and B data of each pixel.

For example, in case that there is a G value only for a unit pixel at the beginning, R and

B values are generated for the unit pixel with reference to the R and B values in the

periphery of the unit pixel.

This actual color interpolation can be performed depending on various methods. FIG. 3 through FIG. 9 illustrate the various interpolation methods.

The operation of the actual color interpolation will be described in detail with

reference to each pertinent drawing.

FIG. 3 illustrates the operation of the nearest neighborhood replication.

Compared with the color filter array of FIG. 2, the pixels having G values are

selectively illustrated.

The nearest neighborhood replication determines R, G, and/or B values, which

are incomplete in a particular pixel, through the corresponding values in the periphery

of the unit pixel.

For the sake of convenience in this description, the RGB data corresponding to

n^th pixel is represented as R(n), G(n) and B(n).

Referring to FIG. 3, the pixels G8, Gl 1, G14 and Gl 8 of 9 pixels has no value.

The nearest neighborhood replication method determines each incomplete value as

pertinent values in the periphery of the unit pixel. Through the nearest neighborhood

replication, the G8 is determined as G7, the G12 is as Gl 1, the G14 is as G13 and the

G18 is as G17.

Alternatively, there can be provided a bilinear interpolation method, which

determines each of incomplete R, G and/or B values as the average values of the

pertinent values in the periphery of the unit pixel.

Also, referring to FIG. 3, the G8 is determined by the formula of (G3+G7+G9+G13)/4 through the values of left, right, upper and lower pixels.

Also, there can be provided a smooth hue transition method.

The smooth hue transition method first calculates a green value by using the

bilinear interpolation method and then determines red and blue values by using hue

values of B/G and R/G.

Referring to the color filter array of FIG. 2, in the case of determining the Blue

value, the B7, B13 and B12 determined by the formulas of B7=G7/2*(B6/G6+B8/G8),

B13=G13/2*(B8/G8+B18/G18), B12-G12/4*(B6/G6+B8/G8+B16/G16+B18/G18).

Also, there can be provided an edge sensing interpolation method, which is

described below by way of example of determining the green value in the pixel B8 of

FIG. 2.

The edge interpolation method first determines each changed amount of the

horizontal and vertical pixels of the desired pixel by the following formula 1.

[Formula 1 ]

ΔH - P? -O9| awl Δ¥ ^« |O3 - O13|

Then, the G8 is determined through the following discriminant by using the

value of the smaller changed mount. If Λ< 4? _f

01» (07 +09) /2» EIm W M > AΨ_t

EIw

G8 - (3S3 +Ϊ37 +O9

End

In another edge sensing interpolation method, the 5 x 5 interpolation is used.

As described in FIG. 4, by way of example of determining the G5 in the pixel

B5, the edge sensing interpolation method defines the vertically and horizontally

changed amounts through the following formula 2.

[Formula 2]

Also, there can be provided a linear interpolation, performed with Lapacian

second-order color correction together.

As described in FIG. 5 and FIG. 6, by way of example of determining the G5

in the pixel B 5, the G5 can be determined through the following formula 3 and

discriminant. [Formula 3]

S- B3→. BS ^» B?| ΔV = |G2 - GS|+ |B5 - Bl + BS - B?

The discriminant is as follows;

If ZH < ΔV.

G5 = (G2 +G8)/2 + (B5-Bl +B5 -B9) /4 ; Else

05- (02404 *m + OS ) /4+ (BJ -Bl +B5 -B3 *W -B7 + 1 End

Then, the method of calculating the red and blue values has the following 3

cases depending on the position.

1) R4=(Rl+R7)/2+(G4-Gl+G4-G7)/4

2) R2=(Rl+R3)/2+(G2-Gl+G2-G3)/4

3) To determine the red value in the pixel B 5, the diagonally changed amount

can be defined through the following formula 4, and then the following discriminant can

be used

[Formula 4] ΔW = |R1 - R9j+ |G5 " GU G5

+ GS

The discriminant is as follows;

11» if ΔN > ΔP,

R5 =(K3+ R7) n +(G5 -G3 +G5^G7) /2 ;

Else

HJ -(RI +R3 +R7 +19) /4+<GJ -Ol +05 »03 +05 -0? +05 -<#) /4 ;

Also, there can be provided a pattern recognition interpolation method.

The case of determining the green value in the pixel Rl 2 of FIG. 2 will be

described by way of example.

In case that the green value is determined in the pixel Rl 2, if H refers to pixels

having values larger than an average and L refers to pixels having values smaller than

the average, the pertinent image can be classified into patterns as illustrated in FIG. 6.

In FIG. 7, the patterns (a) and (d) are defined as an edge pattern; the (b) is as a

strip pattern; and the (c) is as a corner pattern.

In the case of the edge pattern of the (a) and (d), the Gl 2 is determined through

the following formula 5. [Formula 5]

G12=median{G7,Gl l,G13,G17}=(B+C)/2

where the value B and C refers to the second and third largest numbers,

respectively.

Then, in the case of the stripe pattern, referring to FIG. 8, the G?? is

determined through the following formula 6.

[Formula 6]

where M refers to SUM(G)/4, S refers to SUM(X)/8 and 'clip' refers to a

function allowing the result value to be between B and C like the aforementioned

formula 5.

Finally, in the case of the corner pattern, referring to FIG. 9, the G?? is

determined through the aforementioned formula 6 like the stripe pattern, but unlikely,

the M refers to median{H's, L's} and the S SUM(X)/4. The algorithm of the aforementioned edge sensing interpolation method is

follows;

m = size(in,l); n = size(in,2); inR = in(:,:,l); inG = in(:,:,2); inB = in(:,:,3); out

= in; outR = inR; outG = inG; outB = inB; % G channel for i=4:2:m-2, for

j=3:2:n-3, delta_H = abs(l/2*(inB(ij-2)+inB(ij+2))-inB(i,j));

delta_V = abs(l/2*(inB(i-2,j)+inB(i+2J))-inB(i J)); if delta_H < delta_V,

outG(ij) = l/2*(inG(i,j-l)+inG(i,j+l)); elseif delta H > delta_V,

outG(i,j) = l/2*(inG(i-lj)+inG(i+l,j)); else outG(ij) =

l/4*(inG(iJ-l)+inG(i,j+l)+inG(i-l,j)+inG(i+l,j)); end end end for

i=3:2:m-3, forj=4:2:n-2, delta H =

abs(l/2*(inR(i,j-2)+inR(i,j+2))-inR(i,j)); delta_V =

abs(l/2*(inR(i-2,j)+inR(i+2,j))-inR(i J)); if delta_H < delta_V,

outG(ij) = l/2*(inG(ij-l)+inG(ij+l)); elseif delta H > delta_V,

outG(ij) = l/2*(inG(i-lj)+inG(i+l,j)); else outG(ij) =

l/4*(inG(ij-l)+inG(i,j+l)+inG(i-l,j)+inG(i+l,j)); end end end outG =

round(outG); ind = fmd(outG>255); outG(ind) = 255;

% R channel for i=l:2:m-l, outR(i,3:2:n-l) = outG(i,3:2:n-l) +

l/2*(inR(i,2:2:n-2)-outG(i,2:2:n-2)+inR(i,4:2:n)-outG(i,4:2:n)); end for i=2:2:m-2,

outR(i,2:2:n) = outG(i,2:2:n)+l/2*(inR(i-l,2:2:n)-outG(i-l,2:2:n)+inR(i+l,2:2:n)-outG(i+l,2:2:n));

outR(i,3:2:n-l) =

outG(i,3:2:n-l)+l/4*(inR(i-l,2:2:n-2)-outG(i-l,2:2:n-l)+inR(i-l,4:2:n)-outG(i-l,4:2:n)

+inR(i+l,2:2:n-2)-outG(i+l,2:2:n-2)+inR(i+l,4:2:n)-outG(i+l,4:2:n)); end outR =

round(outR); ind = fmd(outR>255); outR(ind) = 255; ind = find(outR<0); outR(ind) =

0; % B channel for i=2:2:m, outB(i,2:2:n-2) =

outG(i,2:2:n-2)+l/2*(inB(i,l:2:n-3)-outG(i,l:2:n-3)+inB(i,3:2:n-l)-outG(i,3:2:n-l));

end for i=3 :2 :m- 1 , outB(i, 1 :2 :n- 1 ) =

outG(i,l :2:n-l)+l/2*(inB(i-l,l:2:n-l)-outG(i-l,l:2:n-l)+inB(i+l,l:2:n-l)-outG(i+l,l :2:

n-1)); outB(i,2:2:n-2) =

outG(i,2:2:n-2)+l/4*(inB(i-l,l:2:n-3)-outG(i-l,l :2:n-3)+inB(i-l,3:2:n-l)-outG(i-l,3:2:n

-l)+inB(i+l,l:2:n-3)-outG(i+l,l:2:n-3)+inB(i+l,3:2:n-l)-outG(i+l,3:2:n-l)); end outB

= round(outB); ind - fmd(outB>255); outB(ind) = 255; ind = fmd(outB<0); outB(ind) =

0; out(:,:,l) = outR; out(:,:,2) = outG; out(:,:,3) = outB;

FIG. 10 illustrates images before and after interpolation. In detail, the original

of the captured image and the images interpolated according to the Laplacian

interpolation and edge sensing interpolation methods are illustrated. The following table

shows the mean square error (MSE) and the computional cost of each aforementioned

interpolation. [Table 1 ]

Referring to Table 1, it is recognized that the edge sensing II and the Laplacian

second-order color correction must be suitably used in accordance with the image

quality and the computational cost.

When these various interpolations are performed in the image processing

apparatus, the ISP or CCP conventionally performs the actual color image interpolation.

However, in accordance with an embodiment of the present invention, the display driver

receives the Bayer RGB data and performs the actual color image interpolation.

FIG. 11 is a block diagram illustrating an image processing apparatus in

accordance with the embodiment of the present invention. As illustrated in FIG. 11, the

image processing apparatus of the present invention can have an image sensor 10, an image processing signal processor (ISP) 20, a backend chip 30, a display driver 40 and a

display 50.

The image sensor 10 has a color filter array and a plurality of unit pixels. Each

of the unit pixels detects one of R, G and B data.

The data detected in each unit pixel refers to Bayer RGB data. The Bayer RGB

data, which is inputted into the ISP 20, passes through a predetermined image

processing operation.

Here, the image processing operation can include at lease one of gamma

correction, which corrects a gamma value set for the display 50; histogram equalization,

which makes the histogram of a pixel value outputted from the image sensor, and

adjusts a small Max value to 255 to uniformly stretch it if the Max value is small, edge

enhancement, subsampling, auto exposure and auto white balance.

Through the aforementioned image processing operation, there can be provided

the more improved image related to the photographic subject.

The backend chip 30, which controls all kinds of elements of the image

processing apparatus, can have a controller such as a central processing unit (CPU) or a

micro controller unit (MCU). Also, the backend chip 30 can have a codec, which

compresses a processed image, and a built-in memory, which stores compressed data.

Also, the backend chip 30 can perform the aforementioned image processing

operation by having built-in means such as the CCP. In the prior art, the ISP or the backend chip performs the actual color

interpolation of the Bayer RGB data and transfers the interpolated data to the display

driver. However, in case that the actual color interpolation is performed prior to the

display driver, the operation of transferring to the display driver requests the high clock

speed due to increasing amount of data and increases the graphic memory size of the

display driver.

For example, if the display has the 6 bit resolution and the size of 176*240, in

accordance with the prior art, the graphic memory size requested for the display driver

becomes 6 x 3 x 176 x 240 / 8 bit, that is 90,040 bite.

Accordingly, the prior art requests very large graphic memory size of the

display drive. The higher the resolution of the display is, the larger the size is.

To solve the problem, the image processing apparatus of the present invention

provides the display driver 40 equipped with the color interpolation unit 60.

The display driver 40 of the present invention receives Bayer RGB data, which

is not actual-color-interpolated, from the ISP 20 or the backend chip 30.

Even though the ISP 20 or the backend chip 30 performs the actual color

interpolation operation, the ISP 20 or the backend chip 30 converts the actual-color

-interpolated data to Bayer RGB data and the Bayer RGB data to the display driver 40.

FIG. 12 is a block diagram illustrating a display drive in accordance with the embodiment of the present invention. Referring to FIG. 12, a system interface 100

included in the display driver receives the Bayer RGB data trough a data bus.

Compared with the schematic of FIG. 2, for example in accordance with the

prior art, in the case of having the 6 bit resolution, the ISP 20 or the backend chip 30

transfers image data in 18 bits due to performance of the actual color interpolation.

Accordingly, as illustrated in FIG. 2, the data bus consists of 18 lines.

However, in accordance with the present invention, in the case of having the 6

bit resolution, the data bus can consist of only 6 lines because the actual color

interpolation is not performed prior to the display driver 40.

In other words, in the case of representing each value in n bits, the data bus can

have n lines only.

The Bayer RGB data, which is received in the system interface 100, is stored in

the graphic memory 108 through the control operation of a register 102 and the writing

operation of a write latch 104.

Here, the register can have an address register, which stores address

information on the graphic memory, a counter, which counts the size of the transferred

data, and a control register, which outputs a control signal for writing and reading the

data.

The display driver further includes a read latch 106, which reads the data stored

in the graphic memory 108, in addition to the write latch 104. On the other hand, the Bayer RGB data stored in the graphic memory 108 is

actual-color-interpolated through a color interpolation unit 110. The interpolated data is

passed through an image outputting unit 112 and outputted to the display 50.

Here, the display 50 can be one of a liquid crystal device (LCD), an organic

(CRT) display and a field emission display (FED), but not limited thereto.

As such, in case that the display driver performs the actual color interpolation,

if the resolution is set as 6 bit as the above example, the graphic memory size is 6 x 176

x 240 / 8, that is, 31,810. In other words, the size is decreased 1/3 times as much as the

prior art having the same bit resolution.

Also, the transmission of data having the size decreased 1/3 times as much as

the prior art does not request the increase of the clock speed, to thereby improve the

apparatus efficiency remarkably. Even though the resolution is set higher than 6 bits

(e.g. 8 bits), the graphic memory size of 8 bits in the above example is 8 x 176 x 240 / 8,

that is, 42,240. Accordingly, the color can be more detailedly displayed even in the

graphic memory size more decreased than the prior art.

The drawings and detailed description are only examples of the present

invention, serve only for describing the present invention. Thus, any person of ordinary

skill in the art shall understand that a large number of permutations and other equivalent

embodiments are possible. The true scope of the present invention must be defined only by the spirit of the appended claims.

[Industrial Applicability]

As described above, the present invention can lower the clock speed of an

image processing apparatus by reducing the amount of data transferred to a display

driver.

Also, the present invention can prevent a wrong operation due to the

electromagnetic interference (EMI) by reducing the power consumption during the

internal signal transferring process of an image processing apparatus.

Also, the present invention can decrease the memory size of a display driver.

In addition, the present invention can make an image processing apparatus in a

small size by reducing the size of the display driver and decreasing the number of data

bus lines.

Claims

[CLAIMS]

[Claim 1 ]

A display driver, outputting an image to a display, the image being captured in

an image sensor having a plurality of unit pixels, the display driver comprises:

a system interface, receiving n bit Bayer RGB data detected in the image

sensor through a data bus, the Bayer RGB data comprising one of red (R), green (G)

and blue (B) data that are captured by the unit pixel;

a graphic memory, storing the received n bit Bayer RGB data; and

a color interpolation unit, interpolating the n bit Bayer RGB data stored in the

graphic memory to 3n bit actual color data.

[Claim 2]

The display driver of Claim 1, further comprising a register, which comprises

address information on the graphic memory, and controls to read / write the data

between the system interface and the graphic memory.

[Claim 3]

The display driver of Claim 1 , further comprising a write latch, which writes

the Bayer RGB data received in the system interface, in the graphic memory.

[Claim 4]

The display driver of Claim 1, wherein the data bus comprises n lines.

[Claim 5]

The display driver of Claim 1, wherein the display is one of a liquid crystal

device (LCD), an organic electroluminescence display (EL), a plasma display panel

(PDP), a cathode-ray tube (CRT) display and a field emission display (FED).

[Claim 6]

A method of controlling a display driver, outputting an image to a display, the

image being captured in an image sensor having a plurality of unit pixels, the method

comprises:

receiving n bit Bayer RGB data detected in the image sensor through a data bus,

the Bayer RGB data comprising one of red (R), green (G) and blue (B) data that are

captured by the unit pixel;

storing the received n bit Bayer RGB data; and

interpolating the n bit Bayer RGB data stored in the graphic memory to 3n bit

actual color data.

[Claim 7]

The method of Claim 6, wherein in the receiving of the n bit Bayer RGB data,

the Bayer RGB data is received through the data bus of n lines.

[Claim 8]

An image processing apparatus comprising:

an image sensor, comprising a plurality unit pixels, and detecting n bit Bayer

RGB data, the Bayer RGB data comprising one of red (R), green (G) and blue (B) data

that are captured by the unit pixel;

a display driver, receiving and storing the n bit Bayer RGB data detected in the

image sensor through a data bus, and interpolating the stored n bit Bayer RGB data to

3n bit actual color data; and

a controller, controlling the image sensor and the display driver.

[Claim 9]

The image processing apparatus of Claim 8, wherein the display driver

comprises a graphic memory, which stores the received n bit Bayer RGB data; and

a color interpolation unit which interpolates the n bit Bayer RGB data, stored in

the graphic memory, to 3n bit actual color data [Claim 10]

The image processing apparatus of Claim 8, wherein the data bus comprises n

lines.