Image processing apparatus and image processing method for generating high dynamic range images
An image processing synthesizing a plurality of pieces of images photographing an identical scene and having different exposure amounts to generate a high-contrast image expanding a dynamic range and having a wide tonal range, includes a selecting unit selecting a reference image based on information of brightness components of the pieces of images, a gain calculating unit calculating brightness ratios of remaining images among the pieces of images to the reference images excluding the reference image as gains based on the information of the brightness components of the pieces of images, a weight calculating unit calculating weights to be applied to the remaining images based on the gains and information of a brightness component of the reference image, and a generating unit performing weighting synthesis between the reference image and the remaining images by using the weights, to obtain a high-contrast image with fine image quality.
1. An image processing apparatus synthesizing a plurality of pieces of images photographing an identical scene and having different exposure amounts to generate a synthetic image expanding a dynamic range and having a wide tonal range, the synthetic image being a high-contrast image, the image processing apparatus comprising:
a selecting unit selecting a reference image based on information of brightness components of the pieces of images;
a gain calculating unit calculating brightness ratios of remaining images to the reference image as gains of the remaining images based on the information of the brightness components of the pieces of images, the remaining images being images among the pieces of images excluding the reference image;
a weight calculating unit calculating weights to be applied to the remaining images based on the gains being calculated and information of a brightness component of the reference image; and
a generating unit generating the high-contrast image by performing weighting synthesis processing between the reference image and the remaining images by using the weights being calculated.
2. The image processing apparatus according to claim 1 , wherein
the selecting unit selects one piece of image having a widest effective range of a brightness distribution as the reference image from among the pieces of images based on information of brightness components of a plurality of reduced images which are a reduced version of the pieces of images.
3. The image processing apparatus according to claim 2 , wherein
the weight calculating unit:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.
4. The image processing apparatus according to claim 1 , wherein
the gain calculating unit calculates the brightness ratios of the remaining images to the reference image as the gains of the remaining images based on information of brightness components of a plurality of reduced images which are a reduced version of the pieces of images.
5. The image processing apparatus according to claim 4 , wherein
the weight calculating unit:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.
6. The image processing apparatus according to claim 1 , wherein
the weight calculating unit:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.
7. The image processing apparatus according to claim 1 , wherein:
the pieces of images are images having image signal components in a linear characteristic state; and
one piece of image among the pieces of images is photographed under an exposing condition determined by an automatic exposure (AE) or specified by a user, and the remaining images excluding the one piece are photographed under exposing conditions different from the exposing condition of the one piece.
8. An image processing method synthesizing a plurality of pieces of images photographing an identical scene and having different exposure amounts to generate a synthetic image expanding a dynamic range and having a wide tonal range, the synthetic image being a high-contrast image, the image processing method, comprising:
a selecting step selecting a reference image based on information of brightness components of pieces of images;
a gain calculating step calculating brightness ratios of remaining images to the reference image as gains of the remaining images based on the information of the brightness components of the pieces of images, the remaining images being images among the pieces of images excluding the reference image;
a weight calculating step calculating weights to be applied to the remaining images based on the gains being calculated and information of a brightness component of the reference image; and
a generating step generating the high-contrast image by performing weighting synthesis processing between the reference image and the remaining images by using the weights being calculated.
9. The image processing method according to claim 8 , wherein
the selecting step selects one piece of image having a widest effective range of a brightness distribution as the reference image from among the pieces of images based on information of brightness components of a plurality of reduced images which are a reduced version of the pieces of images.
10. The image processing method according to claim 9 , wherein
the weight calculating step:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.
11. The image processing method according to claim 8 , wherein
the gain calculating step calculates the brightness ratios of the remaining images to the reference image as the gains of the remaining images based on information of brightness components of a plurality of reduced images which are a reduced version of the pieces of images.
12. The image processing method according to claim 11 , wherein
the weight calculating step:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.
13. The image processing method according to claim 8 , wherein
the weight calculating step:
assigns a larger weight to a part having a higher brightness on an image having a gain value smaller than a predetermined value among the remaining images; and
assigns a larger weight to a part having a lower brightness on an image having the gain value larger than the predetermined value among the remaining images.