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US 8,942,509 B2Granted
Apparatus and method creating ghost-free high dynamic range image using filtering
AssigneesSamsung Electronics Co., Ltd., Snu R&Db Foundation
InventorsJoon Hyuk Cha, Kyoung Mu Lee, Yong Seok Heo, Young Su Moon, Sang Uk Lee, Shi Hwa Lee
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Abstract
An apparatus and method creating a ghost-free High Dynamic Range Image (HDRI) based on filtering are provided. It is possible to effectively prevent a ghost phenomenon from occurring when a single HDRI is created from a plurality of LDRIs, by defining a ghost area using a probability based on a global transfer function indicating a relationship for intensities of several frames, rather than searching for or identifying a ghost area in a single or each image.
Claims26
A High Dynamic Range Image (HDRI) creation apparatus, comprising:
- a Low Dynamic Range Image (LDRI) collector, including at least one of one or more processing devices, configured to collect a plurality of LDRIs while varying an exposure of one or more image capturing devices;
- and
- an HDRI creator, as at least one of the one or more processing devices, configured to identify a reference frame from among the plurality of collected LDRIs, to determine a joint probability function by comparing the identified reference frame to each of remaining LDRIs of the plurality of collected LDRIs, to determine a global transfer function representing a relationship between intensities of the reference frame and the remaining LDRIs based on the determined joint probability function, to define an area where a ghost occurs using the joint probability function, and to create an HDRI based on the determined global transfer function.
A High Dynamic Range Image (HDRI) creation apparatus, comprising:
- a Low Dynamic Range Image (LDRI) collector, including at least one of one or more processing devices, configured to collect a plurality of LDRIs while varying an exposure of one or more image capturing devices;
- and
- an HDRI creator, as at least one of the one or more processing devices, configured to identify a reference frame from among the plurality of collected LDRIs, to compare the identified reference frame to each of the plurality of collected LDRIs, to determine a joint probability function based on the comparison, and to create an HDRI based on the determined joint probability function,
- wherein the HDRI creator further comprises a global transfer function determiner configured to determine a global transfer function based on the determined joint probability function, and
- wherein the global transfer function is calculated by applying a Mean Squared Error Estimate (MSEE) to the joint probability function for the reference frame.
2 more elements
A High Dynamic Range Image (HDRI) creation method, comprising:
- collecting a plurality of Low Dynamic Range Images (LDRIs) while varying an exposure of one or more image capturing devices;
- identifying a reference frame from among the plurality of collected LDRIs;
- comparing the identified reference frame to each of remaining LDRIs of the plurality of collected LDRIs, and determining a joint probability function based on the comparing;
- determining a global transfer function representing a relationship between intensities of the reference frame and the remaining LDRIs based on the determined joint probability function;
- defining an area where a ghost occurs using the joint probability function;
- and
- creating an HDRI based the determined global transfer function.
4 more elements
A High Dynamic Range Image (HDRI) creation apparatus, comprising:
- an HDRI creator, as at least one of one or more processing devices, configured to identify a reference frame from among a plurality of collected Low Dynamic Range Images (LDRIs), to determine a global transfer function, representing a relationship between intensities of the reference frame and remaining LDRIs of the plurality of collected LDRIs, based on a joint probability function of the LDRIs, to define an area where a ghost occurs using the joint probability function, and to create an HDRI based on determined global transfer function.
A High Dynamic Range Image (HDRI) creation method, comprising:
- identifying a reference frame from among a plurality of collected Low Dynamic Range Images (LDRIs);
- determining a global transfer function, representing a relationship between intensities of the reference frame and remaining LDRIs of the plurality of collected LDRIs, based on a joint intensity probability function of the LDRIs;
- defining an area where a ghost occurs using the joint probability function;
- and
- creating an HDRI based on the determined global transfer function.
2 more elements
A High Dynamic Range Image (HDRI) creation apparatus, comprising:
- a Low Dynamic Range Image (LDRI) collector, including at least one of one or more processing devices, configured to collect a plurality of LDRIs while varying an exposure of one or more image capturing devices;
- and
- an HDRI creator, as at least one of the one or more processing devices, configured to identify a reference frame from among the plurality of collected LDRIs, to determine a joint probability function by comparing the identified reference frame to each of remaining LDRIs of the plurality of collected LDRIs, to determine a global transfer function representing a relationship between intensities of the reference frame and the remaining LDRIs based on the determined joint probability function, and to create an HDRI based on the determined global transfer function,
- wherein the global transfer function is calculated based on an error estimate being applied to the joint probability function.
1 more element
A High Dynamic Range Image (HDRI) creation apparatus, comprising:
- a Low Dynamic Range Image (LDRI) collector, including at least one of one or more processing devices, configured to collect a plurality of LDRIs while varying an exposure of one or more image capturing devices;
- and
- an HDRI creator, as at least one of the one or more processing devices, configured to identify a reference frame from among the plurality of collected LDRIs, to determine a joint probability function by comparing the identified reference frame to each of remaining LDRIs of the plurality of collected LDRIs, to determine a global transfer function representing a relationship between intensities of the reference frame and the remaining LDRIs based on the determined joint probability function, to perform a generalized filtering based on a filter using locally weighted average filtering with respect to the determined global transfer function, and to create an HDRI based on the determined global transfer function.
Dependencies are inferred from the claim text.