Abstract: The present invention is directed to surfactants with small hydrophobes, which are of non-conventional hydrophobe size. The surfactants of the present invention utilize a small hydrophobic moiety with a polyalkoxylate chain comprising PO, BO and/or EO groups, with optional ionic groups, such as anionic, cationic and zwitterionic, to achieve the desired hydrophilic-lipophilic balance (HLB). The present invention is further directed to formulations comprising the surfactants of the invention, and methods of using the surfactants of the invention, including in enhanced oil recovery applications.

Abstract: Techniques for validating large amounts of sensitive data migrated across multiple platforms without revealing the content of the sensitive data are provided. For example, a processing device can transform data in a first data file stored on a first platform to common data formats. The processing device can generate a first set of hash values. The processing device can receive a second set of hash values for a second data file stored on a second platform. The processing device can compare the first set of hash values and the second set of hash values and cause the first data file or the second data file to be modified based on a difference between the sets of hash values.

Abstract: Techniques for validating large amounts of sensitive data migrated across multiple platforms without revealing the content of the sensitive data are provided. For example, a processing device can transform data in a first data file stored on a first platform to common data formats. The processing device can generate a first set of hash values. The processing device can receive a second set of hash values for a second data file stored on a second platform. The processing device can compare the first set of hash values and the second set of hash values and cause the first data file or the second data file to be modified based on a difference between the sets of hash values.

Abstract: Techniques for validating large amounts of sensitive data migrated across multiple platforms without revealing the content of the sensitive data are provided. For example, a processing device can transform data in a first data file stored on a first platform to common data formats. The processing device can generate a first set of hash values. The processing device can receive a second set of hash values for a second data file stored on a second platform. The processing device can compare the first set of hash values and the second set of hash values and cause the first data file or the second data file to be modified based on a difference between the sets of hash values.

Abstract: Provided herein are compounds, compositions, and methods having application in the field of enhanced oil recovery (EOR). In particular, the compounds, compositions, and methods provided can be used for the recovery of a large range of crude oil compositions from challenging reservoirs.

Abstract: Provided herein are compounds, compositions, and methods having application in the field of enhanced oil recovery (EOR). In particular, the compounds, compositions, and methods provided can be used for the recovery of a large range of crude oil compositions from challenging reservoirs.

Abstract: The present invention is directed to surfactants with small hydrophobes, which are of non-conventional hydrophobe size. The surfactants of the present invention utilize a small hydrophobic moiety with a polvalkoxylate chain comprising PO, BO and/or EO groups, with optional ionic groups, such as anionic, cationic and zwitterionic, to achieve the desired hydrophilic-lipophilic balance (HLB). The present invention is further directed to formulations comprising the surfactants of the invention, and methods of using the surfactants of the invention, including in enhanced oil recovery applications.

Abstract: An object of the present invention is to extract an image closest to a reference image from among a plurality of candidate images. A plurality of candidate images similar to the reference image are extracted from a plurality of images by utilizing granulometry. The plurality of candidate images is transformed based on the reference image. Mutual information shared by each of the transformed candidate images and the reference image is calculated. A candidate image sharing the largest amount of mutual information with the reference image is selected from among the plurality of candidate images.

Abstract: In an embodiment, a method of digital image processing is provided wherein the method includes the actions of (i) segmenting a data set of an image to be processed, based on predetermined conditions (ii) generating a maximum intensity projection of the segmented data set (iii) closing-by-reconstruction of said data set in parallel to action (ii) (iv) combining the result of action (i) with result of action (iii) by a logical AND function, and (v) replacing pixels of undesired intensity in result of action (ii) by pixels of desired intensity from result of action (iv).

Abstract: The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

Abstract: The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

Abstract: An image processing method for conducting anisotropic diffusion filtering on a pixel value Ii,j in a two-dimensional image, comprises: finding conduction coefficients Cn, Cs, Cw, Ce, Cnw, Csw, Cne and Cse in eight surrounding directions for each pixel based on a pixel value gradient ?I to produce a two-dimensional distribution image of the conduction coefficients; and finding pixel value first partial differentials ?nI, ?sI, ?wI, ?eI, ?nwI, ?swI, ?neI and ?seI in the eight surrounding directions for each pixel to calculate a pixel value in an output image according to: ? I i , j n + 1 = ? I i , j m + ? ? [ [ C n · ? n ? I + C s · ? s ? I + C w · ? w ? I + C e · ? e ? I ] + ? 1 2 ? [ C nw · ? nw ? I + C sw · ? sw ? I + C ne · ? ne ? I + C nw · ? nw ? I ] ] i , j n , (n: the number of times of repetition, ?: a constant).

Abstract: The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

Abstract: In an embodiment, a method of digital image processing is provided wherein the method includes the actions of (i) segmenting a data set of an image to be processed, based on predetermined conditions (ii) generating a maximum intensity projection of the segmented data set (iii) closing-by-reconstruction of said data set in parallel to action (ii) (iv) combining the result of action (i) with result of action (iii) by a logical AND function, and (v) replacing pixels of undesired intensity in result of action (ii) by pixels of desired intensity from result of action (iv).

Abstract: An image processing method for conducting anisotropic diffusion filtering on a pixel value Ii,j in a two-dimensional image, comprises: finding conduction coefficients Cn, Cs, Cw, Ce, Cnw, Csw, Cne and Cse in eight surrounding directions for each pixel based on a pixel value gradient ∇I to produce a two-dimensional distribution image of the conduction coefficients; and finding pixel value first partial differentials ∇nI, ∇sI, ∇wI, ∇eI, ∇nwI, ∇swI, ∇neI and ∇seI in the eight surrounding directions for each pixel to calculate a pixel value in an output image according to: 1 I i , j n + 1 = ⁢ I i , j n + λ [ [ C n · ∇   n ⁢ I + C s · ∇   s ⁢ I + C w · ∇   w ⁢ I + C e · ∇   e ⁢ I ] + ⁢ 1 2 ⁡ [ C nw · ∇   nw ⁢ I + C sw · &D

Abstract: The present invention provides a system, method and computer program product for improving quality of images. The pixels of the input image are used to generate two lists of pixels based on two different scale space values. Thereafter, the two pixels lists are processed to obtain an output image with improved quality.

Abstract: Methods and systems for automated enhancement of annotated images while maintaining the pristine form of the annotations. The disclosed technique has application in processing of intensity or grayscale images as well as processing of color images. The method for processing a grayscale annotated image comprises the following steps: removing one or more annotations from the annotated image to derive a modified image; processing the modified image using an algorithm to derive a processed image; and merging the removed one or more annotations with the processed image to derive a merged image. In the case of RGB color annotated images, the RGB values are first converted into hue, saturation and value (HSV) components. Then the value (i.e., brightness) component of the resulting HSV image is processed using the disclosed technique.

Abstract: An object of the present invention is to extract an image closest to a reference image from among a plurality of candidate images. A plurality of candidate images similar to the reference image are extracted from a plurality of images by utilizing granulometry. The plurality of candidate images is transformed based on the reference image. Mutual information shared by each of the transformed candidate images and the reference image is calculated. A candidate image sharing the largest amount of mutual information with the reference image is selected from among the plurality of candidate images.

Abstract: In ultrasound imaging, acquired images are corrupted by slowly varying multiplicative non-uniformity. When the image is corrected for non-uniformity alone, noise in the dark regions of the original image becomes multiplicatively enhanced, thereby providing an unnatural look to the image. A pre-filtering technique is used to reduce noise in ultrasound pixel images by shrinking initial image data and processing the shrunken image with known segmentation-based filtering techniques that identify and differentially process structures within the image. The segmentation is based on both gradient threshold and the distance from the near field of the ultrasound image. This modification selectively suppresses near-field artifacts. After processing, the shrunken image is enlarged to the dimensions of the initial data and then blended with the initial image to form the final image.

Abstract: The present invention aims at readily calculating a difference between the positions of a plurality of images. Noises are removed from a plurality of halftone images representing the same object. The plurality of halftone images having noises removed therefrom is binary-coded. The barycenters of the binary-coded images are specified. A difference between the positions of the plurality of halftone images in image frames is calculated based on a difference between the positions of the barycenters thereof in the image frames. The plurality of halftone images are synthesized with the difference between the positions of the halftone images in the image frames corrected.