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US 11,538,139 B2Granted
Method and apparatus with image processing
AssigneesSamsung Electronics Co., Ltd., Industry-Academic Cooperation Foundation, Yonsei University
InventorsSeunghoon Jee, Moon Gi Kang, Soon Young Hong, Min Sub Kim, Sang Yoon Lee
Life of this patent
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Abstract
An image processing method includes: determining a source transmission map based on a dark channel map of an input image; determining transformed transmission maps by applying different filters to the determined source transmission map; generating haze-free images by removing haze from the input image based respectively on the determined transformed transmission maps; and generating an output image by blending the generated haze-free images.
Claims20
An image processing method, comprising:
- determining a source transmission map based on a dark channel map of an input image;
- determining transformed transmission maps by applying different filters to the determined source transmission map;
- generating haze-free images by removing haze from the input image based respectively on the determined transformed transmission maps;
- and
- generating an output image,
- wherein the haze-free images comprise:
- a first haze-free image for determining a flat region of the output image;
- and
- a second haze-free image for determining a strong edge region of the output image, and
- wherein the generating of the output image comprises:
- determining an edge map by detecting an edge in the input image;
- generating first transformed haze-free images of different scales by performing a pyramid transformation on the first haze-free image;
- generating second transformed haze-free images of different scales by performing another pyramid transformation on the second haze-free image;
- generatinq the blended intermediate images by blending the first transformed haze-free images and the second transformed haze-free images based on the edge map;
- and
- generating the output image based on the blended intermediate images.
13 more elements
An image processing apparatus, comprising:
- a processor configured to:
- determine a source transmission map based on a dark channel map of an input image;
- determine transformed transmission maps by applying different filters to the determined source transmission map;
- generate haze-free images by removing haze from the input image based respectively on the determined transformed transmission maps;
- and
- generate an output image,
- wherein the haze-free images comprise:
- a first haze-free image for determining a flat region of the output image;
- and
- a second haze-free image for determining a strong edge region of the output image,
- wherein, for the generating of the output image, the processor is configured to:
- determine an edge map by detecting an edge in the input image;
- generate first transformed haze-free images of different scales by performing a pyramid transformation on the first haze-free image;
- generate second transformed haze-free images of different scales by performing another pyramid transformation on the second haze-free image;
- generate blended intermediate images by blending the first transformed haze-free images and the second transformed haze-free images based on the edge map;
- and
- generate the output image based on the blended intermediate images.
14 more elements
A vehicle control apparatus, comprising:
- a camera configured to generate an input image of surroundings of a vehicle;
- a processor configured to
- determine a source transmission map based on a dark channel map of the input image,
- determine transformed transmission maps by applying different filters to the determined source transmission map,
- generate haze-free maps by removing haze from the input image based respectively on the determined transformed transmission maps,
- generate an output image based on the generated haze-free maps, and
- generate a control instruction for traveling of the vehicle based on the generated output image;
- and
- a control system configured to control the vehicle based on the generated control instruction,
- wherein the haze-free maps comprise:
- a first haze-free map for determining a flat region of the output image;
- and
- a second haze-free map for determining a strong edge region of the output image,
- wherein, for the generating of the output image, the processor is configured to:
- determine an edge map by detecting an edge in the input image;
- and
- generate first transformed haze-free maps of different scales by performing a pyramid transformation on the first haze-free map;
- generate second transformed haze-free maps of different scales by performing a pyramid transformation on the second haze-free map;
- and
- generate blended intermediate images by blending the first transformed haze-free maps and the second transformed haze-free maps based on the edge map;
- and
- generate the output image based on the blended intermediate images.
19 more elements
An image processing method, comprising:
- determining a source transmission map, based on a dark channel map of an input image generated based on a mask of a predetermined size;
- determining first and second transformed transmission maps by respectively applying a multi-directional kernel-based filter and a guided filter to the source transmission map;
- generating first and second haze-free images by removing haze from the input image based respectively on the first and second transformed transmission maps;
- and
- generating an output image based on an edge map of the input image,
- wherein the first haze-free image is used for determining a flat region of the output image, and the second haze-free image is used for determining a strong edge region of the output image,
- wherein the generating of the output image comprises:
- determining the edge map by detecting an edge in the input image;
- and
- generatinq first transformed haze-free images of different scales by performing a pyramid transformation on the first haze-free image;
- generatinq second transformed haze-free images of different scales by performing a pyramid transformation on the second haze-free image;
- and
- generatinq blended intermediate images by blending the first transformed haze-free images and the second transformed haze-free images based on the edge map;
- and
- generatinq the output image based on the blended intermediate images.
12 more elements
Dependencies are inferred from the claim text.