Combining frequency and spatial domain information for fast interactive image noise removal

Hirani, Anil N.; Totsuka, Takashi

doi:10.1145/237170.237264

Cited by 92 publications

(55 citation statements)

References 11 publications

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“…However, this drawback could be reduced through further research and the algorithm could be further extended through the use of non-flat structuring elements. www.ijacsa.thesai.org Hirani and Totsuka [7] developed a hybrid technique based on the concept of Projection on Convex Sets (POCS) to reduce noise in images caused by a mixture of types of noise. The approach works by searching for noisy pixels so as to replace them with pixels from the neighbourhood.…”

Section: Literature Reviewmentioning

confidence: 99%

A New Approach for Enhancing the Quality of Medical Computerized Tomography Images

Al-Frejat¹,

HjoujBtoush²

2016

ijacsa

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Abstract-Computerized tomography (CT) images contribute immensely to medical research and diagnosis. However, due to degradative factors such as noise, low contrast, and blurring, CT images tend to be a degraded representation of the actual body or part under investigation. To reduce the risk of imprecise diagnosis associated with poor-quality CT images, this paper presents a new technique designed to enhance the quality of medical CT images. The main objective is to improve the appearance of CT images in order to obtain better visual interpretation and analysis, which is expected to ease the diagnosis process. The proposed technique involves applying a median filter to remove noise from the CT images and then using a Laplacian filter to enhance the edges and the contrast in the images. Also, as CT images suffer from low contrast, a Contrast Limited Adaptive Histogram Equalization transform is also applied to solve this problem. The main strength of this transform is its modest computational requirements, ease of application, and excellent results for most images. According to a subjective assessment by a group of radiologists, the proposed technique resulted in excellent enhancement, including that of the contrast and the edges of medical CT images. From a medical perspective, the proposed technique was able to clarify the arteries, tissues, and lung nodules in the CT images. In addition, blurred nodules in chest CT images were enhanced effectively. Therefore the proposed technique can help radiologists to better detect lung nodules and can also assist in diagnosing the presence of tumours and in the detection of abnormal growths.

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Section: Literature Reviewmentioning

confidence: 99%

A New Approach for Enhancing the Quality of Medical Computerized Tomography Images

Al-Frejat¹,

HjoujBtoush²

2016

ijacsa

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“…Hirani and Totsuka [5] unite frequency and spatial domain information in turn to fill up a specified region with a selected texture. This is a very easy technique that produces unbelievable high-quality results.…”

Section: Survey On Image Inpainting Techniquesmentioning

confidence: 99%

A Detailed Survey on Various Image Inpainting Techniques

Janarthanan¹,

Jananii²

2012

BIJAIP

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“…Hirani and Totsuka developed a method for removing linear clutter from video frames [ 8,9].Their method is especially targeted toward the cinema special effects community. The Hirani-Totsuka method succeeds in applications such as removing wires that actors hang from while doing stunts and removing scratches in old film.…”

Section: Introductionmentioning

confidence: 99%