JPH01220077A - Image processor - Google Patents

Abstract

PURPOSE:To shorten the processing time of muP by adopting dark and bright image data to be constituted of data exceeding 90% out of total data quantity for an ordinary processing routine, allocating an interrupt processing to the binary image data of a few percent quantity and executing as an exceptional processing. CONSTITUTION:An interrupt inputting part 8 to receive as an interrupt input the signal of a binary image data decision result from a comparison and discrimination means 5 is provided in an operation means. An analog video signal is converted into a digital signal, after storing in a storage means 2, the decision of the image data is executed by reading with the comparison and decision means 5, inputted in the interrupt inputting part 8 of the operation means at the time of a binary image data input and the operation is executed by discontinuing the interpolation operation of the dark and bright image data at a data inputting part 7. Thus, the discrimination of a decision result of the dark and bright image data and the binary image data is unnecessary to execute every time with a micro processor (muP) 6 and the processing time can be shortened.

Description

DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) The present invention converts still image data, which is composed of grayscale image data and binary image data, into digital data, stores it in a storage means, and then converts it into digital data. The present invention relates to an image processing apparatus that discriminates between grayscale image data and binary image data, and performs enlargement interpolation processing for each by a calculation means based on the discrimination result.

(Prior art) It is used for photographing analog video signals of still images displayed on cathode ray tube display devices (hereinafter referred to as CRTs) using a multi-format camera for observation and storage, and for high-definition CRTs with a large number of pixels. For display purposes, video data is subjected to -H analog-to-digital conversion (hereinafter referred to as AD conversion) and then enlarged and interpolated to increase the number of pixels using an apparatus as shown in FIG. In the figure, 1 is an analog-to-digital converter (hereinafter referred to as an AD converter) that converts an analog video signal input into a digital signal.
The output is stored in data memory 2.

Reference numeral 3 denotes an enlargement interpolation processing circuit for enlarging and interpolating the image data output from the data memory 2, and enlarging and interpolating the image data using a method described later. The enlarged interpolation processing circuit 3 is usually made up of dedicated hardware or a programmable microprocessor, and its output is stored in the recording storage device @4.

There are two methods of enlarging interpolation performed by the enlarging interpolation processing circuit 3, which will be described below, and either one method is used, or only one method is selected and used with a switch.

■Method of simply connecting the areas of pixels (hereinafter referred to as simple expansion method) ■Method of approximating from data of neighboring points (hereinafter referred to as neighborhood point data approximation method) (a) Linear interpolation to calculate the average value of two adjacent points between them. Let it be the pixel of

(b) Cubic interpolation Perform supplementary rules as shown in Figure 3. In the figure, 20 is a pixel of the original image, and 21 is a pixel that is weighted and averaged from four pixels in the horizontal direction.The four pixels 21 are weighted and averaged to obtain the desired interpolation point 22.

In the above method, the simple enlargement method (2) has the advantage of high processing speed, but the image is simply enlarged, resulting in a mosaic-like screen. In particular, as the magnification increases, the mosaic shape becomes more noticeable, giving it a rough feel. The neighboring point data approximation method (2) averages the neighboring point data, so it is possible to obtain a natural enlarged image, but it feels like it lacks sharpness. This method takes processing time
It is longer than .

Grayscale images, text, and graphics (circles, closed curve graphs, etc.)
When enlarging data containing a mixture of , there is a problem with the simple enlarging method that when enlarging and interpolating 21 image data such as characters and graphics, the border 1 outline is clear and sharp, but the dark and dark image parts are rough. With the neighboring point data approximation method, a soft enlarged interpolated image with a natural feel can be obtained for the grayscale image portion, but there is a problem in that the boundary 2 outline of the character portion becomes blurred. Therefore, as an image processing device that can distinguish between grayscale image data and binary image data such as characters and graph-like data, and enlarge and interpolate each data in a desired manner, the device shown in Fig. 4 is used. is used. In the figure, the same parts as in FIG. 2 are given the same reference numerals.

The analog video signal is input to an AD converter 1, converted into a digital signal, and stored in a data memory 2. The input analog video signal contains grayscale image data and 21
The binary image data is an analog signal with the highest brightness. The data output from the data memory 2 is input to the comparison/discriminator 5. The comparison/discriminator 5 compares the input image data with a preset reference value to determine whether it is grayscale image data or binary image data.
The determination result is input to a data input section 7 of a microprocessor (hereinafter referred to as μP) 6. On the other hand, since all the data are input to the data input section 7 at the same time, the μP 6 enlarges the binary data using the simple enlarging method described above based on the above discrimination result, and uses neighboring point data approximation for the grayscale image data. Data is interpolated by performing interpolation calculations using the method.

(Problem to be solved by the invention) By the way, in such a conventional device, the μP6 (or DS
P) reads the data, and the μP 6 also reads the discrimination results of the comparison discriminator 5 as input information. Generally, binary image data is comments, graphics, etc., and the proportion of this binary image data in the total data is not larger than that of grayscale image data, but is about several percent of the total number of pixels in a CRT image. Even when only a few percent of binary image data is read, the μP6 performs an operation of reading the discrimination result data of the comparator and discriminator 5 for all the data. Therefore, in order to discriminate a few percent of the data, This requires a lot of processing time as it is necessary to perform a discrimination operation on all the data.

The present invention has been made in view of the above-mentioned problems, and an object of the present invention is to perform image processing that can shorten processing time without having to perform discrimination between grayscale image data and binary image data in μP. The purpose is to realize the device.

(Means for Solving the Problems) The present invention to solve the above-mentioned problems converts still image data composed of grayscale image data and binary image data into digital data, stores it in a storage means, and then compares the data. In an image processing apparatus in which a discrimination means discriminates between grayscale image data and binary image data, and a calculation means performs enlargement and interpolation processing for each based on the discrimination result, a signal of the binary image data discrimination result from the comparison discrimination means is transmitted. The present invention is characterized in that the arithmetic means is provided with an interrupt input section that accepts an interrupt input.

(Function) Converts an analog video signal into a digital signal, stores it in a storage means, reads it out to a comparison/judgment means, and discriminates the image data; when inputting binary image data, inputs it to the interrupt input section of the arithmetic means; The calculation time is shortened by interrupting the interpolation calculation of grayscale image data in the data input section.

(Example) Hereinafter, an example of the present invention will be described in detail with reference to the drawings.

FIG. 1 is a schematic block diagram of an embodiment of the present invention. In the figure, the same parts as in FIG. 4 are designated by the same reference numerals. 8 is an interrupt input section for processing data in response to an interrupt request different from the data input section 7;
The signal of the discrimination result of the comparison discriminator 5 is input.

Next, the operation of the apparatus configured as described above will be explained using the flowchart shown in FIG.

Step 1 An analog video signal synthesized with grayscale image data and binary image data is input to the ΔD converter 1,
converts the synthesized analog image data into a digital signal.

Step 2 The AD-converted signal is stored in the data memory 2 as pixels. The data memory 2 is provided because the AD conversion speed is sufficiently faster than the expansion interpolation processing speed of the μP 6 connected later.

Step 3 Read the image data from the data memory 2, input it to the comparison/discriminator 5, and input the data to the data input section of μP 6.

Step 4 A reference value is set in the comparison/discriminator 5, and when the reference value is compared with the input image data and the image data is determined to be binary image data, the determination result is input as an interrupt input to μP6. Input into section 8.

Step 5 μP6 performs approximation calculations on the image data input to the data input section 7 using the neighboring point data approximation method to create interpolated data.

Step 5a The signal of the discrimination result from the comparison discriminator 5 is sent to the interrupt input section 8.
When inputted to , the determination result signal becomes an interrupt request to μP 6, and μP 6 stops calculation by the neighboring point data approximation method and performs interpolation by simple expansion method on the binary image data for which the interrupt request was made.

Step 6 Data interpolation using the neighboring point data approximation method for grayscale image data and 21i1! Data that has been interpolated using the simple expansion method for image data is stored in the recording storage device 4 in the form of pixels.

Step 7 Check whether all the data is completed. If not, return to step 3. If it is, complete the entire process.

As explained above, according to the present invention, grayscale image data consisting of data that normally exceeds 90% of the total data is adopted in the normal processing routine, and binary image data of about a few% is processed. We decided to allocate interrupt processing and perform it like an exception handling, and we decided to perform processing according to each data, so we changed the method where μP6 read each input data once and selected the processing method. In comparison, the execution time of μP can be shortened. In normal CRT images,
area of the gray image area) area of the binary image area,
Processing based on value image data detection can be treated as an "exception" and activated by an interrupt request, eliminating the need for determination each time, which is highly effective in reducing processing time using μP.

(Effects of the Invention) As explained in detail above, according to the present invention, processing can be performed without identifying the determination results one by one in μP.
The processing time can be significantly reduced, which has a great practical effect.

[Brief explanation of the drawing]

FIG. 1 is a schematic block diagram of an embodiment of the present invention, and FIG.
The figure is a block diagram of a conventional image processing device, FIG. 3 is an explanatory diagram of the neighborhood point data approximation method, FIG. 4 is a block diagram of a conventional improved image processing device, and FIG. 5 is an embodiment of the present invention. 3 is a flowchart of the operation of the device. 1...ΔD converter 2...Data memory 3
... Enlargement interpolation processing circuit 4... Recording storage device 5.
... Comparison discriminator 6 ... μP7 ... Data input section 8 ... Interrupt input section Patent applicant Yokogawa Medical Systems Co., Ltd. Figure 2 Cocoon 3 Figure

Claims (1)

[Claims] The still image data composed of the grayscale image data and the binary image data is converted into digital data and stored in the storage means, and then the grayscale image data and the binary image data are discriminated by the comparison discrimination means and based on the discrimination result. An image processing device that performs each enlargement and interpolation process using arithmetic means, characterized in that the arithmetic means is provided with an interrupt input section that receives a signal of a binary image data discrimination result from the comparison and discrimination means as an interrupt input. Processing equipment.