Image processing device
An image processing device and image processing technology, which are applied in the directions of image communication, television, instruments, etc., can solve the problems of inability to compensate for the face area and inability to detect multiple face areas at the same time.
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Embodiment approach 1
[0043]FIG. 1 is a diagram showing the overall configuration of an image processing device and an imaging device according to Embodiment 1 of the present invention. The image processing device 114 in this embodiment includes: an image data memory 101 that stores input image data; and a block data dividing unit that generates image data (block data) for each block obtained by dividing an image based on the image data into a plurality of blocks. 102: Based on the block data information output by the block data division unit 102, the compensation control unit 103 that controls the compensation parameters used to compensate the image quality; uses the compensation parameters determined by the compensation control unit 103 to perform image quality compensation for image quality compensation part 104; and a face region detection part 105 which detects a face region of a person as a specific region in the image data stored in the image data memory 101. The face area detection unit 105...
Embodiment approach 2
[0058] In Embodiment 1 above, since the input image is divided into a certain number, for example, 24 blocks of 6×4, for example, when the input image is Figure 6 In the image shown, the face area cannot be detected with high accuracy. That is, according to Embodiment 1 in which the input image is divided into a certain number of blocks, as Figure 7 As shown, the input image is divided into a total of 24 blocks of, for example, 6×4. Next, the average luminance levels of the blocks 901 to 924 are calculated, and compensation parameters are determined for each block by the compensation control unit 103 .
[0059] exist Figure 7 In the example of , the average brightness levels of the blocks 901 to 924 are: block 901 = 20, block 902 = 90, block 903 = 180, block 904 = 190, block 905 = 120, block 906 = 40, block 907 = 20, Block 908=90, Block 909=180, Block 910=180, Block 911=120, Block 912=30, Block 913=30, Block 914=80, Block 915=160, Block 916=170, Block 917=110, Block 918...
Embodiment approach 3
[0076] In the above-mentioned embodiment 2, since image quality compensation is performed on each rectangular block, for example, in Figure 13 When an image mixed with an underexposed face area and an overexposed face area is input as shown, the face area cannot be detected with high accuracy. That is, according to the second embodiment in which the input image is divided into rectangular blocks and the image quality compensation is performed for each block, the rectangular block division is arbitrarily performed according to the size of the face area assumed by the face area detection unit 105, and the Such as Figure 14 When the shown actual face area size is close to the block size, it is considered that high-accuracy detection is possible, so an example of this case will be described.
[0077] calculate Figure 14 The average luminance level of each block 1601 to 1612 is determined by the compensation control unit 103 as a compensation parameter for each block. exist ...
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