JP2006099280A - Image processor, printer equipped with the same, and image processing method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To appropriately perform an image correction processing when an image is rotated and outputted. <P>SOLUTION: An image file is restored in order from the top, so as to obtain start point restoring information or the histogram of RGB values, and a skin color area, etc., is extracted and stored in a data buffer (S100-S190). An object recognition processing to determine whether an image content indicates a portrait image or a scenery image is performed, based on the size and position of the obtained skin color area and existence of a pixel area corresponding to both eyes and a mouth, etc., so as to calculate a parameter for an automatic correction processing (S195, S200). The image file is restored from a start point block with the use of the start point restoring information, so that the image after rotation is generated in order from an upper end and outputted by performing the automatic correction processing in response to the calculated parameter (S210-S300). Consequently, the image content is determined with the use of the image before rotation, so as to be more appropriately determined. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an image processing apparatus, a printer including the same, an image processing method, and an image processing program. More specifically, the present invention relates to an image processing apparatus that performs predetermined image correction processing on an image and outputs the image, and a printer including the image processing apparatus. The present invention relates to an image processing program.

Conventionally, this type of image processing apparatus detects whether or not an input image includes an object such as a human face, and based on the detection result, the image content (such as a person image or a landscape image) is detected. There has been proposed one that corrects an image by determining and setting a correction parameter (see, for example, Patent Document 1). In this apparatus, when detecting the face of a person, a skin color region is detected or pixels corresponding to eyes and mouth are detected.
Japanese Patent Laid-Open No. 2004-236110

  However, in the above-described apparatus, when detecting an object such as a human face, the positional relationship of pixels corresponding to eyes and mouth and the arrangement of the object with respect to the entire image are taken into consideration. In some cases, object detection and image content determination cannot be performed correctly. For example, when considering the case where such an image processing apparatus is applied to a printer or the like, an image may be rotated and printed according to the print layout setting or the orientation of the printing paper, and object detection is performed as the image rotates. And inconvenience may occur in the determination of the image content.

  An object of an image processing apparatus, a printer including the image processing apparatus, an image processing method, and an image processing program according to the present invention is to more appropriately perform object detection and image content determination. Another object of the image processing apparatus, the printer including the image processing apparatus, the image processing method, and the image processing program of the present invention is to more appropriately perform image correction processing when rotating and outputting an image.

  The image processing apparatus, the printer including the same, the image processing method, and the image processing program of the present invention employ the following means in order to achieve at least a part of the above object.

The image processing apparatus of the present invention
An image processing apparatus that performs predetermined image correction processing on an image and outputs the image,
When an output instruction accompanied with rotation of the designated image is made, an object area included in the image is extracted based on pixel information of the image, and the image is based on the arrangement of the extracted object area with respect to the entire image. Image content determination means for determining the image content of
Image correction rotation means for performing predetermined image correction processing on the designated image based on the determined image content and rotating and outputting the image;
It is a summary to provide.

  In the image processing apparatus of the present invention, when a specified image is rotated and output, the object area is extracted based on the pixel information of the image, and the image content is changed according to the arrangement of the extracted object area with respect to the entire image. Based on the determined image content, predetermined image processing is performed and the image is rotated and output. Therefore, since the image content based on the arrangement of the object area with respect to the entire image is determined using the image before rotation, the image content can be determined more appropriately. As a result, the image correction process when rotating and outputting the image can be performed more appropriately.

  In such an image processing apparatus of the present invention, the image content determination means extracts an area composed of pixels of a predetermined skin color as the object area, and based on the arrangement of the extracted object area with respect to the entire image, It may be a means for determining the image content as a person image. In this way, it is possible to more appropriately determine the person image based on the arrangement of the object area composed of pixels of a predetermined skin color with respect to the entire image.

  Further, in the image processing apparatus of the present invention, the image content determination means may be configured such that the amount of the extracted object region touching the upper side and the left and right sides of the image is not more than a predetermined amount. It may be a means for determining the content as a person image. Here, the “predetermined amount” includes the value 0. In other words, the image content of the image is determined to be a person image on the condition that the extracted object region does not touch the upper side and the left and right sides of the image.

  Furthermore, in the image processing apparatus of the present invention, the image content determination means corresponds to a region aligned in the horizontal direction corresponding to both eyes of the person and a mouth of a person positioned below the region in the extracted object region. One of the conditions is that the image content of the image is a person image. In this way, it is possible to more appropriately determine a person image based on the presence of a region corresponding to both eyes and mouth.

  In such an image processing apparatus of the present invention, the image content determination means may be means for determining the image content of the image as a landscape image when the image content of the image is not determined as a person image.

  In the image processing apparatus of the present invention, when the image content of the image is a landscape image, the image correction rotation means is one of the conditions that a predetermined sky blue pixel is not in contact with the lower side of the image. It may be a means for applying a sky blue correction process for correcting the predetermined sky blue to the image. In this way, the sky blue correction process based on the arrangement of the predetermined sky blue pixels can be performed more appropriately.

  Further, in the image processing apparatus of the present invention, the image is compressed by a predetermined method, and the data storage means for storing data and the designated image are restored in order from the top to at least the stage where the pixel information can be acquired. The acquired pixel information is stored in the data storage means, and in the image restoration process, starting point restoration information for restoring the image from a predetermined position of the image is obtained and stored in the data storage means. Information calculation acquisition means, wherein the image content determination means is means for extracting an object area included in the image based on pixel information stored in the data storage means, and the image correction rotation means is the data storage Based on the origin restoration information stored in the means, the restored image is restored from the predetermined position as May be made so as to generate in the order is a means for outputting performing the predetermined image correction processing on the image after rotation that is the product. In this way, when the image after rotation of the compressed image is generated and output sequentially from the upper end using the starting point restoration information, it is possible to more appropriately determine the image content and perform image correction processing.

  In such an image processing apparatus of the present invention, the image correction rotation means includes a skin color correction process for correcting skin color, a soft focus process, and a brightness correction process as the predetermined image correction process when the image content of the image is a person image. Means for applying at least one, or means for applying at least one of a new green color correction process and a saturation correction process for correcting a new green color as the predetermined image correction process when the image content of the image is a landscape image It can also be assumed.

  The printer of the present invention includes a data acquisition unit that acquires the image from a communicable storage medium, the image processing apparatus of the present invention according to any one of the aspects described above, and a print that prints an image output from the image processing apparatus. And an execution means.

  Since the printer of the present invention includes the image processing apparatus of the present invention according to any one of the aspects described above, the effect exhibited by the image processing apparatus of the present invention, for example, the effect or image that can more appropriately determine the image content The effect that the image correction process at the time of rotating and outputting can be performed more appropriately can be exhibited.

The image processing method of the present invention includes:
An image processing method for performing a predetermined image correction process on an image and outputting the image,
(A) When an output instruction accompanied with rotation of a designated image is made, an object region included in the image is extracted based on pixel information of the image, and based on the arrangement of the extracted object region with respect to the entire image To determine the image content of the image,
(B) A predetermined image correction process is performed on the designated image based on the determined image content, and the image is rotated and output.
This is the gist.

  In the image processing method of the present invention, when a specified image is rotated and output, the object area is extracted based on the pixel information of the image, and the image content is changed according to the arrangement of the extracted object area with respect to the entire image. Based on the determined image content, predetermined image processing is performed and the image is rotated and output. Therefore, since the image content based on the arrangement of the object area with respect to the entire image is determined using the image before rotation, the image content can be determined more appropriately. As a result, the image correction process when rotating and outputting the image can be performed more appropriately.

The image processing program of the present invention includes:
An image processing program for performing predetermined image correction processing on an image and outputting the image,
When an output instruction accompanied with rotation of the designated image is made, an object area included in the image is extracted based on pixel information of the image, and the image is based on the arrangement of the extracted object area with respect to the entire image. An image content determination module for determining the image content of
An image correction rotation module for performing a predetermined image correction process on the designated image based on the determined image content and rotating and outputting the image;
It is a summary to provide.

  In the image processing program according to the present invention, when a specified image is rotated and output, the object area is extracted based on the pixel information of the image, and the image contents according to the arrangement of the extracted object area with respect to the entire image And performing predetermined image processing based on the determined image content and rotating and outputting the image. Therefore, since the image content based on the arrangement of the object area with respect to the entire image is determined using the image before rotation, the image content can be determined more appropriately. As a result, the image correction process when rotating and outputting the image can be performed more appropriately.

  Next, the best mode for carrying out the present invention will be described using examples.

  FIG. 1 is a configuration diagram showing an outline of the configuration of a printer 20 equipped with an image processing apparatus as an embodiment of the present invention. As shown in the figure, the printer 20 of the embodiment includes a control unit 21 that controls the entire apparatus, an interface unit 22 that manages connection with a storage medium 30 such as a memory card, a digital still camera 31, a personal computer 32, and the like, and a storage unit. An image processing unit 23 that performs various types of image processing on an image file read from the medium 30 and the like, a data buffer 24 that temporarily stores data, and color conversion processing and binarization processing are performed on the read image file. A print data generation unit 25 that performs print data generation, an image buffer 26 that stores the generated print data, and a printer engine 27 that executes printing based on the print data stored in the image buffer 26. It is configured as an ink jet printer that performs printing by ejecting ink of each color onto paper.The image processing unit 23 also performs processing for restoring an image file stored in the storage medium 30 or the like and compressed by the JPEG method or the like. A JPEG image file is compressed through steps such as block division, discrete cosine transform (hereinafter abbreviated as DCT) operation, quantization processing, and Huffman coding. Such a JPEG image file is a general image file and does not form the core of the present invention.

  Next, the operation of the printer 20 configured as described above, particularly the operation when performing image correction processing and rotating printing on an image file read from the storage medium 30 will be described. FIG. 2 is a flowchart illustrating an example of image rotation printing processing executed by the control unit 21, the image processing unit 23, the print data generation unit 25, and the like when a printing instruction involving rotation of an image file is made. An example of a case where a print instruction accompanied by rotation of an image file is given is when a print layout that requires rotation of the image file is set via a control panel (not shown) of the printer 20 and printing is instructed. Can do. In the embodiment, a case where the image file is rotated 90 degrees rightward will be described as a specific example.

  In the image rotation printing process, as shown in the figure, first, data for one access unit of an image file related to a print instruction is read from the storage medium 30 or the like (step S100), and a process for decompressing the read data is executed (step S100). S110). Here, the access unit is a data reading unit predetermined according to the specifications of the storage medium 30 and the like, and corresponds to a sector in the flash memory, for example. In addition, as illustrated in FIG. 3, the data size of each block of the image file compressed by the JPEG method does not necessarily match the access unit, and the data size between the blocks is different. Across multiple access units.

  Then, the process of reading the data in the access unit and decompressing the Huffman is repeatedly executed until the data for one block is decompressed. When the data for one block is decompressed (step S120), the decompressed data (block Inverse quantization processing is performed on the (quantized DCT coefficients) (step S130). By executing the inverse quantization process, the DCT coefficients of the block are obtained. Here, in the JPEG image file, since the difference value between blocks is quantized for the quantized DC component of the quantized DCT coefficient, the difference value of the quantized DC component obtained by Huffman decompression is accumulated. As a result, a quantized DC component is acquired, and a DC component is acquired by applying an inverse quantization process to the quantized DC component.

  Next, it is determined whether or not the current block is a starting block (step S140). Here, the starting block is a block that is a starting point for restoring the image file from the middle, and in the embodiment, the leftmost block that is the upper end when the image is rotated 90 ° rightward is the starting block (see FIG. 4).

  If the current block is the starting block, the starting point restoration information for restoring the image file starting from this block is stored in a predetermined area of the data buffer 24 (step S150). Specifically, the origin restoration information includes a file pointer indicating the physical position of the access unit where the data of the origin block is started, and decompression intermediate information for decompressing the data of the origin block from the access unit. And the DC component of the starting block. FIG. 5 is an explanatory diagram for conceptually explaining the decompression intermediate information. As described above, since the data size of each block does not necessarily match the access unit, and the data size between the blocks is different, the access unit in which the data of the starting block is started includes the data of the previous block. It will be. Therefore, in order to perform Huffman decompression on the data of the starting block, information on Huffman decompression of the data of the previous block (for example, the number of bits decompressed by Huffman as data of the previous block) is necessary, and such information is in the middle of decompression. Applicable to information.

  Subsequently, inverse DCT calculation processing is performed on the DCT coefficient acquired by the inverse quantization processing in step S130 to acquire pixel information of the block (step S160), and color conversion for converting the color space of the acquired pixel information Processing is executed (step S170). Here, the color conversion process is a process of converting the YCC color space used in the JPEG image file into the RGB color space.

  When the pixel information converted into the RGB color space is obtained in this way, a histogram indicating the distribution of RGB values of the entire image file is accumulated and stored in a predetermined area of the data buffer 24 (step S180). Note that the pixels for which histograms are to be accumulated may be pixels sampled according to an appropriate rule.

  Next, a flesh-color area composed of skin-colored pixels and a sky-blue area composed of sky-blue pixels are extracted from the pixels of the current block and stored in a predetermined area of the data buffer 24 (step S185). Here, the skin color area and the sky blue area are extracted by predetermining a range of RGB values corresponding to the skin color and sky blue, and extracting pixels within the range of the RGB values.

  When the current block is not the last block of the image file, the process returns to step S100 (step S190), and the processes of steps S100 to S185 are repeatedly executed for the next block. FIG. 6 is an explanatory diagram illustrating an example of the starting point restoration information when the processes of steps S100 to S185 are repeatedly executed. As shown in the figure, since the leftmost block of the image is set as the starting block in the embodiment, the starting point restoration information (file pointer, decompression intermediate information and DC component) for the leftmost block is stored in order from the upper block. Has been. Thus, by restoring the image file in order from the top, the starting point restoration information and the RGB value histogram are acquired, and the skin color area and the sky blue area are extracted and stored in the data buffer 24.

  When the processes in steps S100 to S185 are repeatedly executed up to the last block of the image file in this way, next, object recognition for determining whether the image content is a person image or a landscape image based on the skin color area extracted in step S185. Processing is executed (step S195). Here, the description of the image rotation printing process is interrupted, and the object recognition process illustrated in FIG. 7 will be described.

  In the object recognition process, first, as shown in FIG. 7, a process of reading information on the skin color area extracted in step S185 of the image rotation printing process from the data buffer 24 is executed (step S500). An example of the skin color region is shown in FIG. Then, whether or not the size of the skin color area is equal to or larger than a predetermined size, whether or not the skin color area is in contact with the upper side or the left and right sides of the image, and a pixel area corresponding to both eyes and mouth of the person is in the skin color area It is determined whether or not it exists (steps SS510 to S530). Here, the predetermined size can be set using an area ratio with respect to the entire image, and in the embodiment, the size of 20% of the entire image is set as the predetermined size. Whether or not there is a pixel region corresponding to both eyes or mouth is determined by extracting a pixel region having a lower brightness than the surrounding pixels from the pixels in the skin color region, and the pixel region having the lower brightness is shown in FIG. As shown in FIG. 4, when the vertexes of the substantially inverted triangle exist (that is, two positions aligned in the horizontal direction and one position below the two positions), these are pixel areas corresponding to both eyes and mouth. It shall be judged.

  When the skin color area is equal to or larger than the predetermined size, does not touch either the upper side or the left and right sides, and there is a pixel area corresponding to both eyes and mouth, the image content is determined to be a human image. (Step S540), otherwise, the image content is determined to be a landscape image (Step S550), and this object recognition process is terminated. The skin color area illustrated in FIG. 8 has a size of 20% or more of the entire image, does not touch the upper and left and right sides of the image, and there are pixel areas corresponding to both eyes and mouth. The content is determined to be a person image.

  When the image content is determined by the object recognition processing in this way, the image rotation printing processing next performs automatic correction processing for performing automatic correction processing on the image file based on the determined image content, a histogram of accumulated RGB values, and the like. Parameters are calculated and stored in a predetermined area of the data buffer 24 (step S200). The calculation of the parameters for automatic correction processing can be performed by applying various rules. In the embodiment, when the image content is a human image, the parameters are set so as to perform a skin color correction process and a soft focus process for correcting the skin color to be a better skin color, a brightness correction process for correcting the brightness to be slightly brighter, and the like. When the image content is a landscape image, a new green correction process that corrects the new green color to be a better new green color, a saturation correction process that corrects the saturation to be vivid, etc. The parameters were calculated. If the image content is a landscape image, and if the sky blue area extracted in step S185 is not in contact with the lower side of the image, it is determined that the sky blue area is empty, and the sky blue is a better sky blue. The parameters are calculated so as to perform a sky blue correction process for correcting so as to be (see FIG. 10). Regardless of whether the image content is a person image or a landscape image, parameters are calculated such that various image correction processing (contrast correction processing, γ correction processing, etc.) is performed according to the RGB value histogram. It is.

  Subsequently, the file pointer of the first starting block in the starting point restoration information stored in the data buffer 24 is read (step S210), and the data of the access unit specified by the read file pointer is read from the storage medium 30 or the like. The Huffman decompression is performed (step S220). At this time, by using the decompression intermediate information of the origin restoring information, the data of the origin block can be decompressed from the data in the access unit.

  When one block of data is decompressed (step S230), inverse quantization processing, inverse DCT calculation processing, and color conversion processing are executed (steps S240 to S260). Here, when the DC component of the DCT coefficient is acquired, the DC component of the starting point restoration information is read.

  Subsequently, the block is subjected to automatic correction processing according to the automatic correction processing parameter calculated in step S200 (step S270), and rotated 90 degrees rightward and output to a predetermined area of the data buffer 24 (step S280). ). When outputting to a predetermined area of the data buffer 24, the block itself is rotated and output so that the position of the block becomes the position after the rotation (for example, the block in the upper left corner becomes the upper right corner).

  When the block is rotated and output in this manner, the starting point restoration information of this block is updated to the starting point restoration information of the next block (the block on the right side) (step S290). That is, the file pointer of the access unit where the data of the next block is started, the decompression intermediate information, and the DC component are updated (see FIG. 11). The DC component here stores the quantized DC component of the current block. Therefore, when the next block is restored, the quantized DC component of the next block is obtained by accumulating the quantized DC component and the difference value obtained by Huffman decompressing the data of the next block. become.

  Then, the processes in steps S210 to S290 are repeatedly executed until the rotated blocks output in a predetermined area of the data buffer 24 are accumulated and become a band unit which is a unit for executing printing by the printer engine 27 (step S300). ). FIG. 12 is an explanatory diagram showing how the processes in steps S210 to S290 are repeatedly executed. As shown in the figure, by executing the processing of steps S210 to S290 with the left end block as the starting block in order from the top, the upper end block of the rotated image is output, and the processing for the left end block is performed. When the processing is completed, the processes in steps S210 to S290 are repeatedly executed on the blocks in the column adjacent to the right of the leftmost block in order from the top. As shown in FIG. 13, when the accumulated rotated block is in band units, print data is generated by the print data generation unit 25 based on the data in band units and output to the image buffer 26. Printing is executed by the printer engine 27 based on the print data (step S310). When the last block of the image file is reached (step S320), the image rotation printing process is terminated.

  According to the printer 20 of the embodiment described above, when image correction processing is performed on an image file and the image file is rotated and printed, the image file is restored in order from the beginning, and the origin restoration information and the RGB value histogram are displayed. At the same time, the skin color area and the like are extracted and stored in the data buffer 24. Based on the size and position of the skin color area and the presence of pixel areas corresponding to both eyes and mouth, it is determined whether the image content is a person image or a landscape image. The parameters for automatic correction processing are calculated, and the image file is restored from the starting point block using the starting point restoration information, and the rotated images are generated in order from the top, and the automatic correction processing is performed according to the calculated parameters and output. can do. Therefore, since the image content is determined using the image before rotation, the image content can be determined more appropriately. As a result, the image correction process when rotating and outputting the image can be performed more appropriately.

  Here, in the printer 20 of the embodiment, the data buffer 24 corresponds to the data storage unit, the control unit 21 and the image processing unit 23 that execute the processes of steps S100 to S190 correspond to the information calculation acquisition unit, and the process of step S195 is performed. The control unit 21 and the image processing unit 23 that execute the object recognition process correspond to an image content determination unit, and the control unit 21 and the image processing unit 23 that execute the processes of steps S200 to S300 correspond to an image correction rotation unit. The interface unit 22 corresponds to a data acquisition unit, and the control unit 21, the print data generation unit 25, and the printer engine 27 that execute the process of step S310 correspond to a print execution unit. The skin color area corresponds to the object area.

  In the printer 20 of the embodiment, the skin color area composed of the skin color pixels is extracted and used for the determination of the image content. However, it is sufficient that an object area corresponding to a human face or the like can be extracted. It is good also as what is extracted by. For example, an edge pixel having an edge degree based on a luminance difference between adjacent pixels larger than a predetermined threshold may be extracted as an object region.

  In the printer 20 of the embodiment, the image content is determined to be a person image on the condition that the skin color area is not in contact with either the upper side or the left and right sides of the image. It does not matter.

  In the printer 20 of the embodiment, whether the size of the skin color area is equal to or larger than a predetermined size, whether the skin color area is in contact with the upper side or the left side of the image, and in the eyes and mouth of the person in the skin color area. The image content is determined to be a person image based on whether or not the corresponding pixel area exists, but the present invention is not limited to this, and when one or two of these conditions are satisfied The image may be determined as a person image, or other conditions may be used.

  In the printer 20 of the embodiment, it is determined that the image is a landscape image when the image is not determined to be a person image, but the present invention is not limited to this. For example, the image may be determined as a landscape image based on the arrangement of the sky blue area. Furthermore, it is possible to determine image contents other than a person image and a landscape image.

  In the printer 20 of the embodiment, the image file compressed by the JPEG method has been described as an example, but it is needless to say that the printer 20 can be applied to an image file compressed by another method. In this case, according to the compression method, information necessary for restoring the image file from a predetermined position (for example, the leftmost pixel) may be stored as the starting point restoration information.

  In the printer 20 of the embodiment, the case where it is rotated 90 ° in the right direction has been described as a specific example, but it is needless to say that the present invention is not limited to this. For example, in the case of 180 ° rotation, the leftmost block as the starting block can be restored in order from the bottom to sequentially output from the uppermost block of the rotated image. Furthermore, in the case of 90 ° rotation in the left direction, as illustrated in FIG. 14, in addition to the leftmost block, the column located at the approximate center of the image file is used as the starting block as the starting block, The upper half may be restored starting from the starting block of the column located substantially in the center, and the lower half of the rotated image may be restored starting from the leftmost starting block.

  In the printer 20 of the embodiment, the rotated image is generated in order from the upper end by restoring the image file from the starting point block using the starting point restoring information acquired by restoring the image file in order from the top. Of course, it is not always necessary to rotate the image in this way. For example, the image may be rotated after the entire image is restored.

  In the embodiment, the present invention in which image content determination is performed using an image before rotation and image correction processing is performed has been described as a form of the printer 20, but an image processing apparatus that performs such image correction processing may be used. Further, it can be in the form of such an image processing method or an image processing program.

  The best mode for carrying out the present invention has been described with reference to the embodiments. However, the present invention is not limited to these embodiments, and various modifications can be made without departing from the gist of the present invention. Of course, it can be implemented in the form.

1 is a configuration diagram showing an outline of the configuration of a printer 20 equipped with an image processing apparatus of the present invention. 6 is a flowchart illustrating an example of image rotation printing processing. Explanatory drawing which shows the relationship between the block of an image file, and an access unit. Explanatory drawing which shows an example of a starting point block. Explanatory drawing for demonstrating conceptually decompress | decompressing intermediate information. An explanatory view showing an example of information for starting point restoration. The flowchart which shows an example of an object recognition process. Explanatory drawing which shows an example of a skin color area | region. Explanatory drawing which shows an example of the pixel area | region corresponded to both eyes and an opening | mouth. Explanatory drawing which shows an example of the sky blue area | region of a landscape image. Explanatory drawing which shows an example of a mode that the information for starting point restoration is updated. Explanatory drawing which shows a mode that the process of step S210-S290 is performed. Explanatory drawing which shows a mode that the block after rotation accumulate | stored becomes a band unit. Explanatory drawing which shows an example of the starting point block of a modification.

Explanation of symbols

  20 printer, 21 control unit, 22 interface unit, 23 image processing unit, 24 data buffer, 25 print data generation unit, 26 image buffer, 27 printer engine, 30 storage medium, 31 digital still camera, 32 personal computer.

Claims (10)

An image processing apparatus that performs predetermined image correction processing on an image and outputs the image,
When an output instruction accompanied with rotation of the designated image is made, an object area included in the image is extracted based on pixel information of the image, and the image is based on the arrangement of the extracted object area with respect to the entire image. Image content determination means for determining the image content of
Image correction rotation means for performing predetermined image correction processing on the designated image based on the determined image content and rotating and outputting the image;
An image processing apparatus comprising:   The image content determining means extracts a region composed of pixels of a predetermined skin color as the object region, and determines the image content of the image as a person image based on the arrangement of the extracted object region with respect to the entire image The image processing apparatus according to claim 1.   The image content determination means is a means for determining that the image content of the image is a person image on the condition that the amount of the extracted object region contacting the upper side and the left and right sides of the image is not more than a predetermined amount. The image processing apparatus according to claim 1.   The image content determination means is provided on the condition that a region aligned in the horizontal direction corresponding to both eyes of the person and a region corresponding to the mouth of the person positioned below the region exist in the extracted object region. 4. The image processing apparatus according to claim 1, wherein the image processing apparatus is means for determining the image content of the image as a person image.   5. The image processing apparatus according to claim 1, wherein the image content determination unit is a unit that determines that the image content of the image is a landscape image when the image content of the image is not determined to be a person image.   When the image content of the image is a landscape image, the image correction rotation means corrects the predetermined sky color on the condition that a predetermined sky blue pixel is not in contact with the lower side of the image. The image processing apparatus according to claim 1, wherein the image processing apparatus is a unit that applies the image to the image. The image processing apparatus according to any one of claims 1 to 6,
The image is compressed by a predetermined method,
Data storage means for storing data;
The designated image is restored in order from the head to at least the stage where the pixel information can be obtained, and the obtained pixel information is stored in the data storage means, and a predetermined position of the image is a starting point in the restoration process of the image. And an information calculation acquisition means for acquiring starting point restoration information for restoring the image and storing the information in the data storage means,
The image content determination means is means for extracting an object area included in the image based on pixel information stored in the data storage means,
The image correction rotation means generates the rotated images in order from the upper end by restoring the image starting from the predetermined position based on the starting point restoration information stored in the data storage means, and the generated image correction rotation means Means for applying the predetermined image correction process to the rotated image and outputting the image;
Image processing device. Data acquisition means for acquiring the image from a communicable storage medium;
An image processing device according to any one of claims 1 to 7,
Print execution means for printing an image output from the image processing apparatus;
Printer with. An image processing method for performing a predetermined image correction process on an image and outputting the image,
(A) When an output instruction accompanied with rotation of a designated image is made, an object region included in the image is extracted based on pixel information of the image, and based on the arrangement of the extracted object region with respect to the entire image To determine the image content of the image,
(B) A predetermined image correction process is performed on the designated image based on the determined image content, and the image is rotated and output.
Image processing method. An image processing program for performing predetermined image correction processing on an image and outputting the image,
When an output instruction accompanied with rotation of the designated image is made, an object area included in the image is extracted based on pixel information of the image, and the image is based on the arrangement of the extracted object area with respect to the entire image. An image content determination module for determining the image content of
An image correction rotation module for performing a predetermined image correction process on the designated image based on the determined image content and rotating and outputting the image;
An image processing program comprising:

Images