# US 2013/0278784 A1 · Adaptive PSF Estimation Technique Using a Sharp Preview and a Blurred Image > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2013/0278784 A1 - Document ID: US20130278784A1 - Status: Published application - Kind: A1 - Application number: 13/735,959 - Filed: 2013-01-07 - Published: 2013-10-24 - Earliest claimed: 2009-06-29 - Assignees: DigitalOptics Corporation Europe Limited - Applicants: DigitalOptics Corporation Europe Limited - Inventors: Felix Albu; Alexandru Drimbarean; Adrian Zamfir; Corneliu Florea; Peter Corcoran - Web page: https://patentgrep.com/patent/US20130278784A1 ## CPC - H04N 23/682: {Vibration or motion blur correction} - G06T 5/10: using non-spatial domain filtering - G06T 5/20: using local operators - G06T 5/73: Deblurring; Sharpening - H04N 23/68: for stable pick-up of the scene, e.g. compensating for camera body vibrations - H04N 23/6845: {by combination of a plurality of images sequentially taken} - G06T 2207/10016: Video; Image sequence - G06T 2207/20056: Discrete and fast Fourier transform, [DFT, FFT] - G06T 2207/20201: Motion blur correction - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract An adaptive motion estimation and deblurring technique for acquired digital images includes acquiring multiple digital images with a moving digital image acquisition device that includes an image sensor, including a relatively sharp, underexposed reference image and a blurred image. An initial approximate point spread function (PSF) is estimated corresponding to the moving of the device. A different DC offset point is determined and a second PSF is calculated based on the different DC offset point. ## Claims ### Claim 1 (canceled) ### Claim 2 A method of adaptive motion estimation and deblurring of acquired digital images, comprising: acquiring multiple digital images with a moving digital image acquisition device that includes an image sensor, including a relatively sharp, underexposed reference image and a blurred image; estimating an initial approximate point spread function (PSF) based on a first DC offset point corresponding to the moving of the device during the acquiring of the multiple digital images; choosing multiple crops from the blurred image and the reference image or an interpolated version of the reference image, or both, and equalizing a brightness between these crops; computing a second PSF for a pair of horizontal and vertical offsets; calculating a Cepstrum and refining the second PSF to generate a third PSF based on the Cepstrum; precisely determining a position of a first PSF point; and deblurring at least one of the digital images using a best found PSF based on the third PSF and first PSF point. ### Claim 3 (depends on 2) The method of claim 2, wherein the estimating comprises using a pair of gyro sensors or accelerometers, or a combination thereof. ### Claim 4 (depends on 2) The method of claim 2, wherein the offset comprises a measure of a yaw or a pitch of the image sensor, or both. ### Claim 5 (depends on 2) The method of claim 2, wherein calculating said Cepstrum comprises measuring a linearity of the PSF. ### Claim 6 (depends on 2) The method of claim 2, wherein calculating said Cepstrum comprises computing a Radon transform. ### Claim 7 (depends on 2) The method of claim 2, further comprising changing a PSF fit that does not pass a distance test from the initial approximate PSF. ### Claim 8 One or more non-transitory computer readable media having code embedded therein for programming one or more processors to perform a method of adaptive motion estimation and deblurring of acquired digital images, wherein the method comprises: acquiring multiple digital images with a moving digital image acquisition device that includes an image sensor, including a relatively sharp, underexposed reference image and a blurred image; estimating an initial approximate point spread function (PSF) based on a first DC offset point corresponding to the moving of the device during the acquiring of the multiple digital images; choosing multiple crops from the blurred image and the reference image or an interpolated version of the reference image, or both, and equalizing a brightness between these crops; computing a second PSF for a pair of horizontal and vertical offsets; calculating a Cepstrum and refining the second PSF to generate a third PSF based on the Cepstrum; precisely determining a position of a first PSF point; and deblurring at least one of the digital images using a best found PSF based on the third PSF and first PSF point. ### Claim 9 (depends on 8) The one or more computer readable media of claim 8, wherein the estimating comprises using a pair of gyro sensors or accelerometers, or a combination thereof. ### Claim 10 (depends on 8) The one or more computer readable media of claim 8, wherein the offset comprises a measure of a yaw or a pitch of the image sensor, or both. ### Claim 11 (depends on 8) The one or more computer readable media of claim 8, wherein calculating said Cepstrum comprises measuring a linearity of the PSF. ### Claim 12 (depends on 8) The one or more computer readable media of claim 8, wherein calculating said Cepstrum comprises computing a Radon transform. ### Claim 13 (depends on 8) The one or more computer readable media of claim 8, further comprising changing a PSF fit that does not pass a distance test from the initial approximate PSF. ### Claim 14 A digital image acquisition device, comprising: a lens and an image sensor for acquiring a digital image; a processor; and one or more processor-readable media having code embedded therein for programming the processor to perform a method of adaptive motion estimation and deblurring of acquired digital images, wherein the method comprises: acquiring multiple digital images with a moving digital image acquisition device that includes an image sensor, including a relatively sharp, underexposed reference image and a blurred image; estimating an initial approximate point spread function (PSF) based on a first DC offset point corresponding to the moving of the device during the acquiring of the multiple digital images; choosing multiple crops from the blurred image and the reference image or an interpolated version of the reference image, or both, and equalizing a brightness between these crops; computing a second PSF for a pair of horizontal and vertical offsets; calculating a Cepstrum and refining the second PSF to generate a third PSF based on the Cepstrum; precisely determining a position of a first PSF point; and deblurring at least one of the digital images using a best found PSF based on the third PSF and first PSF point. ### Claim 15 (depends on 14) The device of claim 14, wherein the estimating comprises using a pair of gyro sensors or accelerometers, or a combination thereof. ### Claim 16 (depends on 14) The device of claim 14, wherein the offset comprises a measure of a yaw or a pitch of the image sensor, or both. ### Claim 17 (depends on 14) The device of claim 14, wherein calculating said Cepstrum comprises measuring a linearity of the PSF. ### Claim 18 (depends on 14) The device of claim 14, wherein calculating said Cepstrum comprises computing a Radon transform. ### Claim 19 (depends on 14) The device of claim 14, further comprising changing a PSF fit that does not pass a distance test from the initial approximate PSF.