Auto-focusing techniques based on statistical blur estimation and associated systems and methods

A method comprising:

• capturing a plurality of images of a scene, wherein each image is captured at a different candidate lens position of an imaging system;
• performing a two-dimensional discrete wavelet transform (“2-d DWT”) on each image of the plurality of images to produce at plurality of subbands for each image, wherein the plurality of subbands comprises at least a HL1 subband, a LH1 subband, and a HH1 subband;
• determining, for each image, a shape parameter value for each of the HL1 subband, the LH1 subband, and the HH1 subband;
• determining, for each image, a final shape parameter value based on the shape parameter values of the HL1 subband, the LH1 subband, and the HH1 subband;
• and
• identifying a particular image of the plurality of images that comprises a smallest final shape parameter value.

An auto-focusing system, the system comprising:

• a lens operable to capture an image, wherein the image comprises a plurality of pixels grouped into a plurality of pixel sets;
• a lens driver operable to move the lens to a plurality of lens positions, wherein the image is captured at a certain lens position of the plurality of lens positions;
• and
• a processor operable to:
• sequentially process each pixel set by applying, on each luma pixel location of the plurality of pixel sets, a one-dimensional discrete wavelet transform (“1-d DWT”) to produce a luma component coefficient for each luma pixel location;
• determine a shape parameter value for each pixel set based on each pixel set's generated luma component coefficients;
• and
• determine a final shape parameter value for the image based on the shape parameter values of each pixel set;
• and wherein:
• the auto-focusing system is operable to similarly generate a final shape parameter value for each of a plurality of images, wherein each image of the plurality of images is captured at a different lens position.

An auto-focusing system, the system comprising:

• a lens operable to capture an image, wherein the image comprises a plurality of pixels grouped into a plurality of pixel sets;
• a lens driver operable to move the lens to a plurality of lens positions, wherein the image is captured at a certain lens position of the plurality of lens positions;
• a high-pass filter operable to sequentially process each pixel set by filtering each luma pixel location of the plurality of pixel sets, wherein the filtering generates a luma component coefficient for each luma pixel location;
• and
• a processor operable to:
• determine a shape parameter value for each pixel set based on each pixel set's generated luma component coefficients;
• and
• determine a final shape parameter value for the image based on the shape parameter values of each pixel set;
• and wherein:
• the auto-focusing system is operable to similarly generate a final shape parameter value for each of a plurality of images, wherein each image of the plurality of images is captured at a different lens position.